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This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. The Head of Data Science builds the models that turn a new AI-native behavioral intelligence platform into products customers buy, and proves to those customers that the products work. At the core of the platform, part of Spectrum Intelligence Ventures, is a proprietary transformer-based model that learns how households behave from network-scale signal and encodes that behavior as embeddings. Those embeddings are the foundation for audiences, insights, measurement, and data licenses sold to brands, agencies, and ad tech, media, and AI platforms. Over the next 18 to 24 months, this leader’s job is to get that portfolio to market and make it stand up to buyer scrutiny: build the predictive models and products on top of the embedding layer, set the evidence standard buyers will test them against, and work alongside product and sales to scope pilots, answer technical buyers, and convert evaluations into contracts. In parallel, this leader owns the direction of the embedding model itself, working with the Head of Technology and external development partners, and is accountable for showing that it delivers performance conventional approaches cannot. The Head of Data Science builds and leads the data science team, sits on the platform leadership team, and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF DATA SCIENCE MAKES AN IMPACT • Build and run the predictive models behind the platform’s audience and data products, including in-market, life-stage, purchase propensity, category interest, lifestyle affinity, and behavioral velocity models scored daily at the household level across more than two dozen verticals. Own segment definitions, coverage, refresh cadence, and measured accuracy for every audience the platform sells, whether through Spectrum Reach, DSP data marketplaces, or partner platforms., • Own the platform’s Feature Store as a commercial product: named, typed, versioned, and documented features that serve audiences, insights, measurement, and partner models. Lead the outcome anchoring program that trains and calibrates models against licensed third-party outcome data (vehicle registrations, mortgage originations, card and SKU-level retail spend, travel bookings, and similar sources) so that propensity scores mean what they say, and automate feature creation as new signal sources come online., • Lead the modeling behind custom and partner-specific audiences, including seed-based lookalike expansion, profile-based audience construction, and site- or CRM-seeded models that identify households entering a brand’s purchase path before they reach the brand. Establish repeatable, clean-room-based workflows with transparent match rates, expansion multiples, and performance against the buyer’s own baseline., • Design and defend the platform’s measurement methodology, including exposed-versus-control campaign lift using matched behavioral controls, test-and-holdout incrementality, and closed-loop validation against real-world outcomes. Define the journey, demand, and category metrics that power insights subscriptions and aggregate demand indices, built to withstand scrutiny from brand marketing science teams, agency analytics groups, and measurement partners., • Lead the data science behind the platform’s identity and viewing products: the adjudication and confidence calibration methods that verify partner household graphs against network ground truth, and the household viewing-state, trajectory, and reachability models that underpin viewing intelligence for programmers, agencies, and measurement companies., • Direct the roadmap for the platform’s proprietary transformer-based behavioral embedding model, a multi-entity architecture that encodes both a stable household profile and short-term intent, working with the Head of Technology and external development partners on architecture, training, and refresh. Hold the embedding layer to a commercial standard: measured lift over attribute-only and engineered-feature baselines in the audiences, lookalikes, measurement, and partner models it feeds., • Establish the evaluation, MLOps, and responsible AI standards for every model the platform ships, including evaluation cards that state accuracy, calibration, and coverage in a form buyers can cite; automated release gates; monitoring and drift detection; bias and fairness testing; and privacy-preserving techniques such as audience floors, differential privacy, and adversarial testing, in partnership with Legal and Privacy., • Serve as the senior data science voice with customers and partners, including brand analytics and insights leaders, agency data science teams, and DSPs, identity providers, measurement companies, and AI platforms. Scope pilots and evaluations with product, sales, and solutions teams, and translate methodology into clear commercial proof points., • Build and lead a team of data scientists, ML engineers, and measurement scientists matched to the work ahead: strong in applied predictive modeling and measurement, with the deep learning depth to take greater ownership of the embedding layer over time. Set hiring priorities, operating cadence, and a culture of rigorous experimentation with a clear bias toward production deployment and revenue impact. REQUIRED QUALIFICATIONS • Proven record leading data science for data, audience, identity, targeting, or measurement products in the advertising, media, or marketing ecosystem, where models are packaged, priced, sold, and renewed by external buyers, • Deep, hands-on expertise in predictive modeling on consumer-level data at scale, including propensity and response modeling, classification, gradient boosting, regression, calibration, segmentation and clustering, and lookalike modeling, with sound judgment about which method fits the commercial problem, • Strong grounding in measurement and causal inference, including incrementality testing, matched and synthetic controls, test-and-holdout design, and the practical limits of attribution and media mix approaches, • Working knowledge of identity and data collaboration: household and device graphs, onboarding and match rates, clean rooms (Snowflake, LiveRamp, AWS, or equivalent), identity namespaces such as RampID and UID2, and the use of licensed third-party data in modeling, • Command of the full data science lifecycle in production, from feature engineering through training, validation, deployment, monitoring, and iteration, at large dataset scale (billions, even trillions of records); experience designing feature stores and scoring pipelines that serve audiences and partner deliveries, • Hands-on proficiency with Python, SQL, and distributed data processing (Spark or equivalent); experience running ML workloads on Snowflake, Databricks, AWS, or equivalent cloud platforms, • Solid working knowledge of deep learning and representation learning, including embeddings, sequence models, and transformers, sufficient to direct an embedding roadmap with external partners, set its evaluation standards, and put embeddings to work as features in downstream models, • Familiarity with privacy-preserving analytics and consumer data regulation, including aggregation thresholds, differential privacy, and consent management; comfortable working alongside Legal and Privacy on product design, • Ability to explain methodology clearly to executives, sellers, and buyers, and to defend it under scrutiny from sophisticated technical counterparts in external partner and customer conversations, • Track record of building and growing high-performing data science teams, ideally from an early stage, and recruiting senior talent in competitive markets, • Curiosity about the application of AI to consumer intelligence, including how foundation models and AI agents can draw on behavioral context to make better decisions REQUIRED EDUCATION • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field PREFERRED EDUCATION • Master’s degree or PhD in Statistics, Machine Learning, Econometrics, Operations Research, or a related quantitative discipline; an advanced degree is valued but not required, and a record of applied commercial impact is weighted equally REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS • Experience leading applied data science or analytics teams that build data, audience, identity, or measurement products: 7 years, • Hands-on predictive modeling, machine learning, or measurement science on consumer-level data at scale: 10 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS • Senior data science leadership at a data, identity, audience, or measurement company in the advertising and media ecosystem (e.g., LiveRamp, Merkle, Epsilon, Acxiom, Experian, TransUnion, Nielsen, Circana, Comscore, The Trade Desk, or specialty analytics and measurement firms): 10 years, • Applied deep learning or representation learning (embeddings, sequence models) deployed in production on consumer behavioral data: 3 years, • Work with TV and video viewership data, cross-screen measurement, or identity graph quality evaluation: 3 years WORKING CONDITIONS • In-office position preferably based in New York City, • Travel as required for partner engagements, executive meetings, and industry events #LI-SD2 XEN421 2026-85457 XEN421 2026 Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive _ package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you’ll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet®, Mobile, TV and Voice products. _ Grow Your Career Here We’re committed to growing a workforce that reflects the customers and communities we serve – providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. _

Position: Product Manager Consultant– Debt Platform Modernization \n Location: Jersey City, NJ-Onsite. \n Job Type : Contract \n \n Final Face To Face Interview Mandatory \n \n Job Description:- \n \n We are seeking an experienced Product Manager Consultant to support a strategic Debt Platform Modernization Program. This role will work closely with business stakeholders, subject matter experts, technology teams, external partners, developers, and QA engineers to define end-to-end business processes and translate them into actionable product requirements. \n The ideal candidate is a hands-on Product Manager who can drive requirements discovery, maintain a delivery-ready backlog, support implementation and testing activities, and ensure delivered solutions achieve the intended business outcomes. This position requires strong analytical thinking, stakeholder management, and the ability to operate effectively in complex and evolving environments. \n \n Key Responsibilities \n Stakeholder Discovery & Requirements Elicitation \n\n • Lead workshops and working sessions with business stakeholders, SMEs, external partners, and delivery teams.\n, • Document current-state and future-state business processes, decision points, dependencies, and operational workflows.\n, • Facilitate alignment across stakeholders and drive timely resolution of requirement gaps and open questions.\n\n Product Planning & Backlog Management \n\n • Partner with product leadership to translate business objectives and program priorities into a prioritized product roadmap and backlog.\n, • Manage feature sequencing, dependencies, release scope, and sprint readiness.\n, • Ensure epics, features, and user stories remain refined and ready for development and testing.\n\n Business Process & Requirements Definition \n\n • Define end-to-end business workflows, business rules, data requirements, exception handling processes, and integration touchpoints.\n, • Create and maintain epics, features, user stories, process maps, and acceptance criteria.\n, • Translate business needs into implementation-ready requirements that can be effectively executed by engineering and quality teams.\n\n Product Delivery & Cross-Functional Collaboration \n\n • Collaborate closely with developers, architects, QA engineers, business analysts, Finance, Operations, and third-party partners throughout the product lifecycle.\n, • Participate in backlog refinement, sprint planning, implementation reviews, release preparation, and product demonstrations.\n, • Resolve functional questions and provide ongoing business context to delivery teams.\n\n Testing, Validation & Product Acceptance \n\n • Partner with QA teams to review test strategies, test scenarios, and traceability against acceptance criteria.\n, • Support defect triage, clarify expected business behavior, and coordinate user acceptance validation.\n, • Evaluate completed functionality and recommend readiness for business acceptance and production deployment.\n\n User Experience & Process Design \n\n • Collaborate with business users and design teams to create and review workflow diagrams, wireframes, and prototypes using Figma.\n, • Ensure solutions deliver intuitive, efficient, and well-controlled user experiences for both internal and external users.\n\n Debt Markets & Domain Expertise \n\n • Build and apply knowledge of debt issuance, securities settlement, trade lifecycle processes, and related operational workflows.\n, • Leverage business and market insights to identify process improvements, challenge assumptions, and support informed product decisions.\n\n \n Expected Deliverables \n\n • Current-state and future-state business process documentation\n, • Epics, features, user stories, and acceptance criteria\n, • Business rules, workflow diagrams, and process maps\n, • Wireframes and prototype reviews\n, • Product backlog management and prioritization artifacts\n, • Product review presentations and stakeholder feedback documentation\n, • Requirements traceability and decision logs\n, • Ongoing support for implementation, testing, and product\n

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About The Company A hypergrowth Series B AI SaaS startup, backed by top-tier venture capital firms, is hiring a Founding Implementation Manager to help build and scale its customer implementation function. The company is growing quickly, and this role sits at the center of that growth, with real ownership over how customers are onboarded and set up for success. You’ll have a direct hand in shaping implementation processes, working closely with product and engineering, and seeing the impact of your work from day one as the platform and customer base scale.\n \n Key Responsibilities \n\n • Lead the implementation process for new customers from kickoff through full go-live\n, • Own end-to-end implementation planning, timelines, milestones, and delivery across assigned accounts\n, • Manage customer data migrations from legacy systems based on defined requirements and success criteria\n, • Configure the platform to align with customer workflows and business needs\n, • Serve as the primary point of contact for customers during the implementation phase\n, • Deliver customer training sessions to ensure users are confident and effective using the platform\n, • Partner closely with Product and Engineering to communicate bugs, usability issues, and enhancement requests\n, • Proactively identify risks, blockers, and scope changes, and drive resolutions\n, • Develop, document, and continuously improve implementation playbooks, best practices, and internal processes\n, • Ensure a smooth handoff from implementation to post-go-live customer success and support teams \nExperience \n\n • 5+ years of experience in software implementation, solutions delivery, customer success, or a related SaaS role\n, • Bonus: experience working with financial systems, ERP platforms, or data-heavy products\n, • Proven ability to manage multiple concurrent implementations in a fast-paced environment\n, • Strong technical aptitude with the ability to quickly learn and configure new software platforms\n, • Comfortable working cross-functionally with Product, Engineering, and Customer Success teams\n, • Intermediate proficiency in Microsoft Excel or Google Sheets for data validation and analysis\n, • Bachelor’s degree or equivalent practical experience \n

About Cresset \n Cresset is a firm built by clients, for clients. As an independent, award-winning multi-family office and private investment firm, we are reimagining the way wealth is experienced. Our purpose is to help ensure that both wealth and life are fully optimized**—integrated, intentional, and aligned with each client’s vision of success. \n \n We provide access to the caliber of talent, ideas, and investment opportunities typically available to the largest single-family offices and institutions. Our approach is personalized, entrepreneurial, and client-first. \n \n Cresset was built to endure. We are creating a 100+ year firm—one focused on delivering an exceptional experience, not only for the families we serve but for the team that serves them. Recognized by Barron’s among the nation’s top multi-family offices,* Cresset is guided by long-term relationships, shared success, and a belief that wealth should serve a life well lived. \n \n Job Description \n As Cresset continues to grow through acquisitions, lift-outs, strategic hires, and organic expansion, exceptional onboarding and integration has become a core differentiator of our business. The Managing Director, Head of Advisor Transitions & Integration is responsible for overseeing all aspects of advisor and client transitions from initial due diligence through full integration. This leader will define the strategy, operating model, governance, and execution standards that enable Cresset to deliver a seamless experience for incoming advisors, their team, and clients. While this role is highly strategic, it is equally operational. During periods of advisor onboarding and integration, this leader is expected to be fully embedded with incoming teams, working side by side with advisors, internal Cresset subject matter experts, custodians and 3rd party partners to coordinate resources, remove obstacles, and ensure the successful transition of clients and assets. \n \n This is not a role that leads integrations from afar; it requires a leader who is equally comfortable developing enterprise strategy and rolling up their sleeves to execute alongside the business teams. During onboarding, this leader is expected to be physically present with incoming teams for multiple, consecutive weeks. They will work directly alongside Advisory Practice Management Operations, Client Service, Technology, HR, Compliance, Legal, and other business functions to ensure resources are effectively coordinated and issues are identified and resolved quickly so advisors and their team members can remain focused on serving clients. Success requires calm leadership under pressure, sound judgment, and the ability to rapidly prioritize competing demands while maintaining an exceptional advisor and client experience. \n \n Key Responsibilities \n\n • Serve as an active partner to Corporate Development and Advisory Leadership during due diligence to assess operational readiness, integration complexity, technology environments, organizational structures, client service models, and transition risks.\n, • Evaluate advisor operating models and identify opportunities to accelerate integration while preserving the elements that make teams successful.\n, • Lead readiness planning by developing preliminary integration strategies, day one operating models, transition timelines, pre-close checklists, break readiness, resource requirements and alignment internally and with partners, and risk mitigation and contingency plans ahead of break.\n, • Quickly build trusted relationships with incoming leadership teams and team members to establish confidence and ensure a seamless transition.\n, • Support late-stage conversations by clearly articulating the integration approach and advisor experience\n, • Identify critical decisions that must be made prior to onboarding and ensure appropriate alignment internally and with incoming team.\n\n \n Integration Execution & Delivery \n\n • Lead day-to-day execution of integration plans post-break, including regular integration meetings / discussions and working sessions to track progress and resolve blockers\n, • Drive coordination across operations, client service, compliance, technology, reporting, finance, and HR\n, • Translate strategic integration plans into detailed workstreams, timelines, and deliverables\n, • Serve as the primary operator ensuring milestones, risks, and dependencies are actively managed\n, • Identify and resolve issues early, pulling in subject matter experts to triage and stabilize and senior leaders as needed to support\n, • Establish clear ownership and accountability across all integration workstreams\n\n \n Advisor & Client Transition \n\n • Own the advisor transition experience from signed agreement through post-integration stabilization.\n, • Serves as the face of Cresset's transition experience for incoming advisors and teams across the following activities: Advisor onboarding strategy, client transition planning, asset migration coordination, custodian conversion planning, communications, readiness and scenario planning, training coordination, service model implementation, and issue escalation and resolution.\n\n \n Systems & Data Integration \n\n • Oversee integration of technology tools (ex. Salesforce, Addepar, custodian platforms, and financial planning)\n, • Coordinate data migration, validation, and reconciliation\n, • Identify and resolve system gaps, inconsistencies, and reporting issues\n\n \n Investment & Platform Integration \n\n • Support review and mapping of portfolios, securities, and alternative assets\n, • Coordinate platform approvals and transitions with investment and operations teams\n, • Address custodial setup, pricing discrepancies, and account structure issues\n\n \n Process & Playbook Development \n\n • Develop and refine integration playbooks and best practices\n, • Conduct post-mortems, document lessons learned and continuously improve workflows\n, • Support scaling the integration function as deal volume grows\n\n \n Qualifications \n\n • Bachelor’s degree required; advanced degree or certifications a plus.\n, • 10+ years of experience in financial services, wealth management, or integration-focused roles.\n, • Demonstrated experience leading large-scale advisor transitions, acquisitions, or enterprise integrations within wealth management or financial services.\n, • Comfortable leading highly visible integrations where executive presence, responsiveness, and sound judgment are essential.\n, • Proven ability to remain calm and decisive while managing multiple priorities in rapidly changing environments.\n, • Experience building trust with founders, advisors, and senior executives during periods of significant organizational change.\n, • Willingness to travel extensively in support of acquisitions, lift-outs, advisor transitions, due diligence, and post-close integration activities.\n, • Proven ability to lead complex, multi-workstream initiatives and fluency with project management tools (e.g., Asana.)\n, • Strong understanding of brokerage/custody operations, account transfers, client onboarding, and wealth management technology.\n, • An understanding of custodial platforms (Schwab, Fidelity, Pershing), advisor technology ecosystems (e.g., Addepar, E-Money, MSCI Wealth, Salesforce), and investment portfolio structures.\n, • Exceptional communication, organizational, relationship-building, and stakeholder management skills.\n, • Ability to operate with a high degree of ownership in a fast-paced, evolving environment\n, • Clear alignment with Cresset’s values of client-first excellence, partnership, collaboration, and continuous improvement.\n\n \n What We Offer: \n At Cresset, we focus on people first. As a service business, our people are our assets. Engaging our clients and employees is our highest priority. Starting salary is $200,000 - $255,000. Salary will be based on factors including, but not limited to, experience, licenses/certifications, industry knowledge, and geographic location. Cresset offers a competitive compensation package including an annual incentive and a benefits package to all full-time employees including medical, dental, vision, life insurance, 401(k) retirement plan, health savings accounts, short and long-term disability insurance, voluntary critical and accident insurance, and pre-tax parking and transportation programs. \n \n Equal Employment Opportunity \n It is the policy of Cresset to ensure equal employment opportunity (EEO) for all employees and applicants for employment without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, or related conditions), national origin or ancestry, age, disability, veteran status, uniformed servicemember status, sexual orientation, gender identity, status as a parent, genetic information (including testing and characteristics), or any other characteristic protected by applicable federal, state, or local law. It is Cresset’s policy to comply with applicable laws concerning the employment of persons with disabilities, including reasonable accommodation for applicants and employees with disabilities. \n \n *Disclosures related to awards, recognitions, and rankings available here. \n \n *Barron's Top 100 RIA Firms (issued 09.2026). Based on data from July of the prior year through June of the award year. Rankings are determined using a proprietary methodology that considers qualitative and quantitative factors. Cresset paid a licensing fee to use the Barron's award logos. \n \n **Wealth Optimized, Life Elevated refers to the firm’s philosophy and process in providing advisory and planning services and is not intended to convey a guarantee of results. \n \n Cresset refers to Cresset Capital Management, LLC and its respective direct and indirect subsidiaries and controlled affiliates. For a full list of Cresset subsidiaries and controlled affiliates, please see cressetcapital.com/disclosures/. \n

Job DescriptionAt Blue Bottle, our mission is to connect the world to delicious coffee. From seed to cup, we elevate the craft of coffee in everything we do. We strive to build a better tomorrow by investing in what matters: a sustainable future for our people, the company, and our planet. About the Job A Shift Supervisor serves as an integral member of leadership, spearheading efforts to consistently deliver exceptional hospitality and elevate the coffee experience, all while upholding stringent Cafe standards and driving toward established business objectives. Shift Supervisor fosters a culture of continuous learning within the Cafe, serving as a catalyst for inspiration and motivation among team members to continuously refine their skills and enhance performance. While occupying a position of influence within the team, a Shift Supervisor operates without direct reports, leveraging their leadership to orchestrate collaborative efforts and drive collective success You Will: • Possess comprehensive knowledge of Cafe expenditures and actively contribute to sales growth initiatives, • Support ongoing operations and continuous improvement within the cafe, through the assigned operational area of focus, taking a proactive role in ensuring the right routines, processes, and tools are in place to enable the team’s success, • Oversee service flow to uphold optimal levels of safety, cleanliness, quality, and efficiency, • Execute essential operational support duties such as ordering, receiving, and managing inventory, • Follow the Leader on Duty process and checklists by strategically deploying staff, overseeing breaks, and ensuring exceptional hospitality and adherence to Blue Bottle's standards for beverage and food preparation, • Facilitate the onboarding and training of new team members, ensuring seamless integration into the team, • Assume responsibility for cash handling and daily deposits, • Promptly address guest concerns within the Cafe, • Report incidents of illness and injury as per protocol, • Provide guidance to team members on new menu offerings and operational procedures, • Lead efforts to achieve company-wide sustainability objectives, actively engaging your team in these initiatives, • Consistently prepare and serve beverages and food items to the highest quality standards, • Take charge of supervising high-performing team members, • Demonstrate exemplary behavior as a role model for your team members, consistently setting high standards and continuously striving for improvement, and lead with Omotenashi in mind, • Foster a culture of curiosity and ongoing learning, participating in tastings, cuppings, and training sessions to deepen your understanding of coffee, • Ensure compliance with company standards and safety protocols, fostering a culture of continuous improvement through constructive feedback and support to promote a safe and respectful workplace environment for all team membersYou Are:, • A leader who is passionate about training and helping to develop a team, • Aware of your impact on others, and seek regular feedback to continually improve, • A strong communicator who can provide impactful and motivating feedback to improve the team’s beverage, food, and hospitality delivery, • Always curious, you are excited about finding new ways to delight our guests, • Savvy with your resources, with the ability to make decisions and problem-solve, • Dedicated to your team and your guests, you understand and value empathy and use it to guide interactions on and off the job, • Passionate about the planet and creating a sustainable future for our people, the company, and our planet, • Eligible to work in the United States and 18 years of age or olderYou Have:, • 6 months to 1 year of supervisory experience or experience in team leadership, • Completed Blue Bottle Academy’s Barista training and validation program or will complete it within 90 days post-hire, • Existing Food Safety Certification required for the state you will be working in and for your specific role, or will obtain it within 30 days post-hire, • Basic math and computer skills, • A flexible schedule and are available to work mornings, evenings, weekends, and holidaysA few benefits we offer:, • Comprehensive health, dental, and vision coverage for eligible employees starting on your first day, • Best-in-class coffee training and continuing education, • Free membership into the Specialty Coffee Association of America and discounts on events (including Expos and Championships), • 401(k) plan, • Paid time off & paid volunteer hours, • 50% discount on all products, both online and in-cafe; this includes food, beverages, whole-bean coffee, and merchandise, • 2 free drinks during shifts for cafe team members, • Flexible spending account & commuter benefits, • Employee Assistance Program, • Additional benefits informationOur Shift Supervisor position is a dynamic one! Below, we’ve mapped out the physical demands that are essential to the role:, • Ability to stand and walk for long periods of time; you’re on your feet the majority of the day, whether you are standing behind bar pulling shots or walking the cafe floor, • Use of hands to reach, grip, turn, and perform precision work; you’re using your hands to operate beautiful espresso machines, pour delicious pour overs, and operate the register (among other responsibilities), • As needed, squat, bend, twist, and reach for items below waist level or above shoulders; for example, you may have to bend down or reach up to grab cups, lids, and towels, • Ability to lift, push/pull, carry, and/or move up to 50 pounds; for example, you’ll be handling bags of coffee beans, coffee kegs, crates of milk, tubs of dishes, and trash bins, • As needed, climb ladders, stairs, ramps, and uneven floors and/or surfaces; for example, climb on a step stool to change menu slats or go up and down stairs and ramps to storage areas, • Ability to smell and taste; you’re tasting and smelling coffee and food, helping ensure quality control for each cup and plate, • Ability to listen and speak; you’re listening and speaking with our guests to take and fill orders, and guide and create experiences, • The role is performed in an environment that may involve exposure to environmental conditions, including elevated temperatures from food and beverage preparation equipment, and cooler temperatures in refrigerated spacesCompensation:, • $19.50 per hour + tips averaging approximately $6-$9 dollars per shift hourBlue Bottle is an Equal Opportunity Employer. We value an open mind, dedication to work, and a collaborative spirit. We hire based on these qualities, a job’s requirements, our business’s needs, and an applicant’s qualifications. We do not tolerate discrimination or harassment of any kind in the hiring process or in the workplace. We comply with the ADA and provide reasonable accommodations that allow qualified applicants/employees to perform the essential functions of the job. We also provide reasonable religious accommodations to applicants/employees to allow them to practice their bona fide religious beliefs. To request an accommodation, contact your People Partner. We may refuse to hire relatives of present employees if doing so could result in actual or potential problems in supervision, security, safety, or morale, or if doing so could create other conflicts of interest. We will consider employment-qualified applicants with arrest and conviction records. We participate in E-Verify. We will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. We will only use E-Verify once an employee has accepted a job offer and completed the Form I-9. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Blue Bottle, our mission is to connect the world to delicious coffee. From seed to cup, we elevate the craft of coffee in everything we do. We strive to build a better tomorrow by investing in what matters: a sustainable future for our people, the company, and our planet. About the Job A Blue Bottle Cafe Leader creates a culture of belonging where teams with diverse backgrounds, styles, and perspectives can grow. They develop the team to consistently deliver great hospitality and coffee experiences while ensuring accountability for cafe standards and business goals. You Will: • Build, develop, inspire, and retain an incredible team by providing direct feedback, offering coaching and mentorship, conducting regular development check-ins, and leading performance management activities to nurture individual and collective growth, • Dedicate yourself to ensuring every guest enjoys an exceptional experience by leading from the front, inspiring and empowering your team to exceed guest expectations consistently, and turning each visit into a memorable occasion, • Manage the cafe's day-to-day operations, overseeing critical operations such as ordering, writing schedules that align with the dynamic needs of the team and business, banking procedures, and meticulously reviewing and approving payroll to ensure a seamless and accurate operational flow, • Lead the cafe team by setting a high bar for performance metrics, ensuring the continual surpassing of targets in sales, guest satisfaction, and overarching cafe goals, • Motivate team members to actively contribute towards achieving our company-wide sustainability goals, fostering a sense of purpose and shared commitment to environmental responsibility, • Champion a work culture that prioritizes safety and respect; foster an environment where each team member feels secure and valued, ensuring the workplace becomes a hub for collaboration, creativity, and mutual respect, • Collaborate seamlessly with other Blue Bottle teams and your Area Leader to craft creative initiatives that engage the local community, strengthen relationships with regular guests, and extend a warm welcome to newcomers, • Act as the guardian of quality and deliciousness, coaching and training your team to uphold the highest standards for every beverage and food item served, • Uphold an unwavering commitment to health, food safety, and general safety guidelines, • Manage the Cafe's Profit and Loss statement, aligning it with overarching goals encompassing sales, budget adherence, and other strategic targets, • Address all team member concerns proactively, demonstrating a keen understanding of the importance of a harmonious work environmentYou Are:, • A strong and dedicated people leader who understands that collaboration takes work; you understand your team and cultivate the right experiences so team members and leaders can grow together, • A business leader who understands how to drive a cafe to financial success through operational excellence, creative initiatives, and building an amazing team, • Obsessed with hospitality, you always anticipate the needs of guests and your community, • Deeply empathetic, with an open and positive attitude toward problem-solving, you are not afraid to ask challenging questions if it helps us do right by our teams, guests, and business, • Never satisfied with the status quo, you are energized by ambitious and challenging goals, • Able to balance both the big picture and the nitty-gritty in shaping and leading the strategy for your cafe while also driving excellent day-to-day operations, • Flexible and creative in problem-solving, you roll with the punches and have fun doing it, • Passionate about the planet and creating a sustainable future for our people, the company, and our planetYou Have:, • 2+ years of retail/hospitality experience with a strong preference for coffee, food, and beverage, • 2+ years of leadership experience leading a team of 10+ people, • Proven experience in hiring, training, and developing team members, • Completed Blue Bottle Academy’s Barista training and validation program or will complete it within 90 days post-hire, • Existing Food Safety Certification required for the state you will be working in and for your specific role, or will obtain it within 30 days post-hire, • A strong understanding of a profit and loss statement and knowledge of how to impact it, • Comfort using computer programs, especially Google Drive tools (Sheets, Docs, Calendar), • This is an on-site position; you must have a flexible schedule and be available to work mornings, evenings, weekends, and holidays, • Ability to smell and taste; you’re tasting and smelling coffee and food, helping ensure quality control for each cup and plate, • Ability to listen and speak; you’re listening and speaking with our guests to take and fill orders, and guide and create experiences, • The role is performed in an environment that may involve exposure to environmental conditions, including elevated temperatures from food and beverage preparation equipment, and cooler temperatures in refrigerated spacesA few benefits we offer:, • Comprehensive health, dental, and vision coverage for eligible employees starting on your first day, • Best-in-class coffee training and continuing education, • Free membership into the Specialty Coffee Association of America and discounts on events (including Expos and Championships), • 401(k) plan, • Paid time off & paid volunteer hours, • 50% discount on all products, both online and in-cafe; this includes food, beverages, whole-bean coffee, and merchandise, • 2 free drinks during shifts for cafe team members, • Flexible spending account & commuter benefits, • Employee Assistance Program, • Additional benefits information, • This position has a minimum salary of $66,300. This salary is a good faith estimate for this position. The final salary offer will be determined after reviewing relevant factors, which include a candidate's qualifications and experience, where appropriate.Blue Bottle is an Equal Opportunity Employer. We value an open mind, dedication to work, and a collaborative spirit. We hire based on these qualities, a job’s requirements, our business’s needs, and an applicant’s qualifications. We do not tolerate discrimination or harassment of any kind in the hiring process or in the workplace. We comply with the ADA and provide reasonable accommodations that allow qualified applicants/employees to perform the essential functions of the job. We also provide reasonable religious accommodations to applicants/employees to allow them to practice their bona fide religious beliefs. To request an accommodation, contact your People Partner. We may refuse to hire relatives of present employees if doing so could result in actual or potential problems in supervision, security, safety, or morale, or if doing so could create other conflicts of interest. We will consider employment-qualified applicants with arrest and conviction records. We participate in E-Verify. We will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. We will only use E-Verify once an employee has accepted a job offer and completed the Form I-9. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Blue Bottle, our mission is to connect the world to delicious coffee. From seed to cup, we elevate the craft of coffee in everything we do. We strive to build a better tomorrow by investing in what matters: a sustainable future for our people, the company, and our planet. About the Job: As a Blue Bottle Leader in Training, you assume a pivotal role in guiding the team members towards consistently delivering exceptional hospitality and coffee experiences, all while ensuring adherence to cafe standards and attainment of business objectives. The Leader in Training collaborates closely with the Cafe Leader to oversee critical aspects such as ordering, inventory management, and workflow optimization, aiming to enhance the financial and operational performance of the cafe. They also play a key role in nurturing a culture of continuous learning within the team, prioritizing training and development initiatives that focus on hospitality excellence, product quality, and overall team growth. In essence, they serve as catalysts for excellence, fostering the highest standards among their team members, guests, and the business alike. Must be willing to relocate within a 50-mile radius of our market area. Aligned with our Guiding Principles, our Leaders in Training serve as inspirational figures, embodying the core values of Blue Bottle and setting the standard for excellence in leadership. They invite our team members, vendors, and guests to create community through coffee. At Blue Bottle, our mission is to connect the world to delicious coffee. From seed to cup, we elevate the craft of coffee in everything we do. We strive to build a better tomorrow by investing in what matters: a sustainable future for our people, the company, and our planet. About the Job: As a Blue Bottle Leader in Training, you assume a pivotal role in guiding the team members towards consistently delivering exceptional hospitality and coffee experiences, all while ensuring adherence to cafe standards and attainment of business objectives. The Leader in Training collaborates closely with the Cafe Leader to oversee critical aspects such as ordering, inventory management, and workflow optimization, aiming to enhance the financial and operational performance of the cafe. They also play a key role in nurturing a culture of continuous learning within the team, prioritizing training and development initiatives that focus on hospitality excellence, product quality, and overall team growth. In essence, they serve as catalysts for excellence, fostering the highest standards among their team members, guests, and the business alike. Must be willing to relocate within a 50-mile radius of our market area. Aligned with our Guiding Principles, our Leaders in Training serve as inspirational figures, embodying the core values of Blue Bottle and setting the standard for excellence in leadership. They invite our team members, vendors, and guests to create community through coffee. Responsibilities • Assume full accountability for cafe operations in the absence of the Cafe Leader, ensuring smooth and efficient functioning., • Foster a culture of respect, inclusivity, and continuous learning within the team, celebrating diversity and promoting development through feedback, coaching, and mentoring., • Communicate and uphold Blue Bottle's sustainability values, motivating team members to contribute to organizational goals., • Assist in recruiting a diverse team and manage performance through feedback, recognition, and addressing concerns promptly., • Optimize staffing and shift management to deliver exemplary hospitality, adhering to quality standards for beverage and food preparation., • Enhance guest experience through engagement, technical product education, and handling feedback and escalations professionally., • Collaborate with the Cafe Leader on business analysis, strategic planning, and action plans for sales, restocking, merchandising, inventory, and scheduling., • Ensure accurate accounting of transactions, maintain inventory levels, and contribute to scheduling activities., • Adhere to safety policies and procedures, report concerns, and promote a safe and respectful workplace., • Manage controllable budget and labor hours efficiently, ensuring accountability and reporting any issues promptly.You Are:, • Adept at coaching individuals of diverse learning styles and backgrounds, demonstrating patience and adaptability to ensure their success., • A catalyst for excellence, setting and upholding elevated standards for both themselves and their team members., • A consummate communicator proficient in imparting information effectively and delivering constructive feedback with tact and empathy., • Exhibits astute judgment and decision-making capabilities, approaching challenging situations with a proactive and positive problem-solving mindset., • A collaborative strategist adept at identifying and eliminating obstacles to streamline processes and achieve goals, prioritizing clear communication and decisive action., • Committed to fostering a culture of empathy and understanding, valuing meaningful connections with both team members and guests., • Driven dedication to environmental sustainability, actively pursuing initiatives that contribute to a sustainable future for our people, our company, and our planet., • Eligible to work in the United States and 18 years of age or olderYou Have:, • 1-2 years working in a leadership role or experience leading a team, with a strong preference for coffee, food, and beverage, • Completed Blue Bottle’s Barista training and validation program or will complete it within 90 days post-hire, • Existing Food Safety Certification required for the state you will be working in and your specific role or will obtain it within 30 days post-hire, • Familiarity with online collaboration and organization tools including Google Docs, • A flexible schedule and are available to work mornings, evenings, weekends and holidays, • Ability to smell and taste. You’re tasting and smelling coffee and food, helping ensure quality control for each cup and plate., • Ability to listen and speak. You’re listening and speaking with our guests to take and fill orders, and guide and create experiences., • The role is performed in an environment that may involve exposure to environmental conditions, including elevated temperatures from food and beverage preparation equipment, and cooler temperatures in refrigerated spacesA few benefits we offer:, • Comprehensive Health, dental, and vision coverage for eligible employees starting on your first day, • Best-in-class coffee training and continuing education, • Free membership into Specialty Coffee Association of America and discounts on events (including Expos and Championships), • 401(k) plan, • Paid time off & paid volunteer hours, • 50% discount on all products, both online and in-cafe. This includes food, beverages, whole bean coffee, and merchandise., • 2 free drinks during shifts for cafe team members, • Flexible spending account & commuter benefits, • Employee Assistance ProgramCompensation, • $21.25 per hour + tips averaging approximately $6-$9 dollars per shift hour Blue Bottle is an Equal Opportunity Employer. We value an open mind, dedication to work, and a collaborative spirit. We hire based on these qualities, a job’s requirements, our business’s needs, and an applicant’s qualifications. We do not tolerate discrimination or harassment of any kind—in the hiring process or in the workplace. We comply with the ADA and provide reasonable accommodations that allow qualified applicants/employees to perform the essential functions of the job. We also provide reasonable religious accommodations to applicants/employees to allow them to practice their bona fide religious beliefs. To request an accommodation, contact your People Partner. We may refuse to hire relatives of present employees if doing so could result in actual or potential problems in supervision, security, safety, or morale, or if doing so could other create conflicts of interest. We will consider employment qualified applicants with arrest and conviction records. We participate in E-Verify. We will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. We will only use E-Verify once an employee has accepted a job offer and completed the Form I-9. Blue Bottle is an Equal Opportunity Employer. We value an open mind, dedication to work, and a collaborative spirit. We hire based on these qualities, a job’s requirements, our business’s needs, and an applicant’s qualifications. We do not tolerate discrimination or harassment of any kind—in the hiring process or in the workplace. We comply with the ADA and provide reasonable accommodations that allow qualified applicants/employees to perform the essential functions of the job. We also provide reasonable religious accommodations to applicants/employees to allow them to practice their bona fide religious beliefs. To request an accommodation, contact your People Partner. We may refuse to hire relatives of present employees if doing so could result in actual or potential problems in supervision, security, safety, or morale, or if doing so could other create conflicts of interest. We will consider employment qualified applicants with arrest and conviction records. We participate in E-Verify. We will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. We will only use E-Verify once an employee has accepted a job offer and completed the Form I-9. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. \n At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. \n This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. \n\n \n \n The Role\n \n \n Own growth across large, important, and potentially global enterprise accounts by translating customer business priorities into measurable outcomes enabled by Lumen’s network, cloud, security, managed services, and orchestration portfolio. \n As the senior commercial lead, you operate independently from acquisition through modernization, activation, adoption, consumption, and expansion. You set account strategy, shape and negotiate commercial terms, mobilize cross-functional resources, and advise executive stakeholders. Your broad command of customer economics, markets, technology, and complex buying environments makes you a trusted expert to customers and colleagues. \n \n \n \n \n The Main Responsibilities\n \n \n \n • Own and execute a self-directed strategy for a portfolio of large, important, or global accounts, grounded in each customer’s business model, financial priorities, operating risks, technology estate, market context, and competitive position.\n, • Anticipate needs before they become formal requirements; develop points of view and use cases that connect modernization to growth, efficiency, resilience, risk reduction, and innovation.\n, • Build qualified pipeline through executive relationships, account intelligence, focused prospecting, partners, marketing, and business development.\n, • Prioritize investments and resources based on customer potential, solution fit, buying signals, competitive dynamics, and revenue opportunity.\n, • Lead discovery across executive, business, technical, operational, and financial stakeholders to define the problem, value at stake, decision path, and urgency to act.\n, • Integrate relevant capabilities across Lumen and its partners into a coherent outcome; direct architects and specialists through clear commercial and customer objectives while they own technical design and validation.\n, • Build quantified business cases covering expected value, investment, implementation requirements, risk, and cost of inaction.\n, • Develop customers’ and colleagues’ understanding of business, market, and solution tradeoffs; influence executive sponsors, economic buyers, technical decision makers, and internal champions. \n, • Own new-logo acquisition and expansion against assigned sales, revenue, and consumption goals.\n, • Lead complex, high-value sales cycles through qualification, validation, pricing, negotiation, procurement, legal review, and close.\n, • Exercise substantial commercial discretion—and, within company governance, full authority to shape and negotiate product, service, pricing, and contract terms.\n, • Establish mutual action plans, decision criteria, stakeholder commitments, milestones, and activation dates; surface risks and dependencies early.\n, • Plan and manage the account resource model, mobilizing sales, technical, delivery, customer success, channel, and partner teams without relying on formal authority. \n, • Retain commercial ownership through implementation and activation; hold downstream partners accountable for customer readiness, delivery commitments, adoption, and value realization.\n, • Use consumption data and customer signals to remove adoption barriers, address underutilization, anticipate revenue risk, and identify expansion across workloads, locations, and business units.\n, • Convert demonstrated value into modernization, additional use cases, broader executive relationships, recurring revenue, and sustained growth.\n, • Serve as a recognized expert across business, financial, market, customer, and portfolio domains; coach peers and contribute account insight that improves sales approaches and solution fit.\n, • Activate channel and technology partners through joint targeting, account planning, and selling, with clear ownership and measurable outcomes.\n, • Use AI, agents, and automated workflows to improve research, prioritization, outreach, follow-through, and opportunity management; validate outputs and apply sound judgment.\n, • Maintain rigorous qualification, stakeholder maps, next steps, forecasts, and CRM records. \n \n \n \n \n \n What We Look For in a Candidate\n \n \n \n, • 8+ years of enterprise sales experience and sustained quota achievement, with evidence of performance at the scope and complexity described above.\n, • Success acquiring and expanding large, important, or global enterprise accounts and closing complex deals with multimillion-dollar total contract value.\n, • Broad expertise across customer business and financial drivers, enterprise technology markets, complex buying environments, and relevant solutions such as networking, cloud, security, managed services, or enterprise software.\n, • Demonstrated authority and judgment in structuring and negotiating complex product, service, pricing, and contract terms with senior customer leaders.\n, • Technical fluency to lead credible discovery, recognize solution opportunities, and direct architects and specialists effectively.\n, • Experience planning account strategy independently and orchestrating colleagues and partners across the full customer lifecycle without formal authority.\n, • Understanding of recurring-revenue and consumption-based models, including how activation, adoption, and usage create customer value and revenue growth.\n, • Practical experience using AI and automation to improve sales execution, with disciplined validation of outputs.\n, • Executive presence, sound judgment, and an ownership mindset; you make decisions, surface risk early, give direct feedback, and take responsibility for outcomes. \n \n \n \n \n \n Compensation\n \n \n \n This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.\n \n \n \n \n \n Location Based Pay Ranges\n \n \n \n \n \n $126,518 - $168,683 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY \n \n \n $132,847 - $177,122 in these states: CO HI MI MN NC NH NV OR RI \n \n \n $139,166 - $185,552 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA \n \n \n \n \n \n Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's:BenefitsBonus Structure\n \n \n #LI-Remote\n \n \n #projectVelocity\n \n \n \n \n \n What to Expect Next\n \n \n \n\n Requisition #: 343717 \n \n Life at Lumen \n Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. \n Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win. \n To learn more about Life at Lumen and how we live the Lumen 8, please visit: \n https://jobs.lumen.com/global/en/life-at-lumen \n \n Background Screening \n If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n \n Equal Employment Opportunities \n We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. \n \n Privacy Notice \n Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. \n To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit: \n https://jobs.lumen.com/global/en/privacy-notice \n \n Disclaimer \n The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. \n In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. \n Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. \n At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. \n This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. \n\n \n \n The Role\n \n \n As an Account Director II Forward Deployed, you will own expansion and modernization across a portfolio of complex, high-profile Regional Enterprise accounts by connecting customer priorities to measurable outcomes enabled by network, cloud, security, managed services, and related technology solutions. You independently plan the account approach, create demand, shape commercial outcomes, and lead cross-functional pursuit teams without formal authority. Your deep understanding of customer business and financial priorities, market context, and relevant solutions makes you a trusted specialist who develops customers’ and colleagues’ understanding. \n \n \n \n \n The Main Responsibilities\n \n \n \n • Own and execute account strategies for complex or high-profile Regional Enterprise customers, including accounts with significant revenue, broad geographic reach, and diverse needs. \n, • Analyze each customer’s business model, financial priorities, operating challenges, technology environment, and buying signals to identify whitespace, stakeholders, use cases, and funding paths. \n, • Build qualified expansion pipeline through executive relationships, proactive discovery, account intelligence, partners, marketing, and focused prospecting. \n, • Prioritize opportunities and resources based on customer value, solution fit, competitive dynamics, risk, and revenue potential; provide input that improves colleagues’ account approaches. \n, • Lead consultative discovery with executive, business, technical, operational, and financial stakeholders to define desired outcomes, value at stake, decision criteria, and urgency. \n, • Translate customer needs into outcome-based solution narratives and quantified business cases addressing value, investment, implementation considerations, risk, and cost of inaction.\n, • Serve as a recognized expert in one or more business, sales, product, or service areas; develop customer and colleague understanding through informed points of view and best practices.\n \n \n, • Direct and coordinate Solutions Engineering, Customer Success, Product, Delivery, Marketing, channel, and partner resources around clear customer and commercial objectives.\n \n \n, • Own expansion opportunities through qualification, solution validation, proposal, negotiation, close, and transition to activation. \n, • Exercise broad authority and moderate-to-considerable discretion, within company governance, to shape and negotiate product, service, pricing, and commercial terms with senior customer stakeholders. \n, • Establish mutual action plans, stakeholder commitments, milestones, and next steps; identify customer risk, competitive threats, and dependencies early. \n, • Lead small-to-medium cross-functional pursuit teams without supervisory authority and hold contributors accountable for agreed actions and customer outcomes. \n, • Maintain rigorous account plans, stakeholder maps, pipeline coverage, qualification, forecasts, next steps, and CRM records. \n, • Use AI, agents, and automated workflows to improve research, prioritization, meeting preparation, follow-through, and opportunity management; validate outputs and apply sound judgment.\n, • Share customer and market insight, coach peers on proven practices, and help improve sales execution and solution fit. \n \n \n \n \n \n What We Look For in a Candidate\n \n \n \n, • 6+ years of complex B2B sales experience, or equivalent evidence of capability, with sustained success growing existing customer relationships and achieving sales goals. \n, • Bachelor’s degree or equivalent education and experience; practical experience with AI-enabled sales tools is preferred. \n, • Experience owning complex or high-profile accounts and advancing multi-stakeholder technology opportunities from discovery through negotiation and close. \n, • Deep expertise in one or more relevant domains, such as customer business and financial drivers, networking, cloud, security, managed services, or enterprise technology sales. \n, • Demonstrated judgment and discretion in structuring and negotiating product, service, pricing, or commercial terms with senior customer stakeholders. \n, • Ability to plan account strategy independently, influence colleagues’ approaches, and lead cross-functional teams without formal authority.\n, • Strong executive communication, business-case development, forecasting, pipeline management, and CRM discipline. \n \n \n \n #projectvelocity \n \n \n \n \n Compensation\n \n \n This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.\n \n \n Location Based Pay Ranges\n \n \n $109,649 - $146,192 in these states: FL GA IN KS OH PA SC TN WI \n \n $115,133 - $153,507 in these states: MI MN NC \n \n $120,617 - $160,812 in these states: DC IL MA MD NJ NY VA \n \n \n Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's:BenefitsBonus Structure\n #LI-Remote \n #ProjectVelocity \n \n \n \n \n What to Expect Next\n \n \n \n\n Requisition #: 343666 \n \n Life at Lumen \n Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. \n Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win. \n To learn more about Life at Lumen and how we live the Lumen 8, please visit: \n https://jobs.lumen.com/global/en/life-at-lumen \n \n Background Screening \n If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n \n Equal Employment Opportunities \n We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. \n \n Privacy Notice \n Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. \n To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit: \n https://jobs.lumen.com/global/en/privacy-notice \n \n Disclaimer \n The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. \n In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. \n Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Position Summary We are seeking a highly motivated, results-oriented, and resourceful Research Associate to support preclinical drug discovery programs focused on neurological and neurodegenerative diseases. The ideal candidate will have strong hands-on experience in cellular and molecular biology, in vitro and in vivo experimentation, and assay development. The successful candidate will design and execute experiments efficiently, generate high-quality, reproducible data, and contribute to target identification, validation, and therapeutic development. Scientific rigor, effective troubleshooting, and the ability to deliver results within established timelines are essential. Key Responsibilities · Design, conduct, and analyze in vitro and in vivo studies that advance target validation and preclinical drug discovery. • Perform cell-based studies using mammalian cell cultures, preferably iPSC-derived neurons and primary cells., • Conduct animal studies, including dosing, tissue collection, and sample processing., • Apply molecular biology and protein biochemistry techniques to evaluate target engagement, biological mechanisms, and therapeutic responses., • Develop, optimize, and troubleshoot experimental assays to ensure reliable and reproducible results., • Analyze, document, and communicate experimental findings to support scientific decisions and program progression., • Collaborate effectively with multidisciplinary teams while managing experimental priorities and timelines. Qualifications • MS in Neuroscience, Molecular and Cellular Biology, or a related discipline, or BS degree with 5-7 years of relevant biotechnology or pharmaceutical experience., • Knowledge of neurodegenerative disease biology and preclinical drug discovery is desirable. Compensation and Benefits • Salary range will depend heavily on experience and education ($72k - $90k)., • 401k with matching after 90 days, • Health, dental, vision insurance eligibility from day 1, • Cash bonuses

Job Description We are seeking a motivated Field Service technician with 3-5 years of mechanical, refrigeration, HVAC or related field service experience to support hospitals, laboratories, research facilities and healthcare organizations throughout NY / NJ area. This position offers an excellent opportunity to build specialized skills in scientific refrigeration. Duties include performing preventative maintenance, temperature validation and troubleshooting with live remote support from team leader. Specialized training provided. Hires will work in a team atmosphere setting, both in the field and in our refrigeration workshop, managing assets for a full-service biomedical support company. Though the position is regional (NYC/NJ area), the candidate will have opportunity for business travel if they desire it via our national network. Full-time position with top-rated benefits, including health/vision/dental, AD&D, and 401k with matching. Competitive pay and great company culture. Job sites at top healthcare facilities in NY with opportunities to travel. We are looking for a candidate for a long term with our organization, to grow with our national expansion and broaden their skill set. If you are dependable, professional, customer focused and looking for a long-term career with growth potential, apply today. \nCompany Description Med+Stat is ranked in the top 10 Clinical / Biomedical Engineering Vendors in the USA and has been rated the #1 reliable Biomedical Engineering Vendor in the USA. We provide Biomedical Services all over the country via our BED+CARE program (fully comprehensive hospital bed services program), BIOMED+CARE program (biomedical engineering services program) and FRIDGE+CARE program (cold storage services for healthcare). In business since 2003, we provide top tier benefits coupled with stability and opportunities for upward mobility in a highly competitive industry. Med+Stat is ranked in the top 10 Clinical / Biomedical Engineering Vendors in the USA and has been rated the #1 reliable Biomedical Engineering Vendor in the USA. We provide Biomedical Services all over the country via our BED+CARE program (fully comprehensive hospital bed services program), BIOMED+CARE program (biomedical engineering services program) and FRIDGE+CARE program (cold storage services for healthcare). In business since 2003, we provide top tier benefits coupled with stability and opportunities for upward mobility in a highly competitive industry.

We are early-stage startup focused on the genetic underpinning of common diseases. We are hiring a Scientist - Genome Engineer to design, build and validate existing and novel editing approaches in human cellular models of disease. You will own all editing work from design, testing, readout and iterative cycles of optimizations. As foundational scientific hire, you will shape our platform, our lab and our scientific culture, working directly with the founding team. What you will do • Design and execute on multiple precision editing strategies, • Build and screen libraries; optimize editing efficiency, purity and product outcome in primary cells and relevant disease models., • Develop and compare delivery approaches across viral and non-viral (LNP, RNP electroporation, nanoparticle) delivery systems., • Run specificity and safety assessment: off-target nomination and validation, translocation and large-deletion analysis, and the assays our regulatory path will require., • Own experimental design, data analysis and documentation to a standard that supports IND-enabling work and patent filings., • Manage additional team members, equipment, protocols, vendor relationships. Required qualifications • PhD in genetics, molecular biology, bioengineering, genome engineering or a closely related field., • Hands-on expertise with precision genome editing tools: CRISPR-Cas nucleases, base editors, prime editors, and the design and screening workflows around them., • Demonstrated experience with multiple delivery systems., • Experience editing primary cells or other therapeutically relevant cell types, with quantitative readouts (NGS-based editing analysis, PCR, flow cytometry)., • Strong experimental design and data analysis skills; comfort with sequencing data and standard bioinformatic tools for editing outcome analysis., • Ability to work independently in a small team, build reports and presentations., • Excellent communication skills., • Authorized to work in the United States and on-site. Preferred qualifications • Published, peer-reviewed work on gene editing technologies., • Highly skilled at multitasking and AI tool integration. We are an equal opportunity employer.

Physician Affiliate Group of New York (PAGNY), a tax-exempt organization affiliated with NYC Health + Hospitals, is adding a Director of Payroll. PAGNY is one of the largest physician groups in New York State and directly employs nearly 4,000 physicians and allied health professionals who serve seven of New York City’s public hospitals, numerous public health community-based practices, and the city’s Correctional Health Service. The mission of NYC Health + Hospitals is to extend equally to all New Yorkers, regardless of the ability to pay, comprehensive health services of the highest quality in an atmosphere of humane care, dignity, and respect. Their Values are built on a foundation of social and racial equity and has established the ICARE standards for all staff. NYC Health + Hospitals is the nation’s largest municipal health care delivery system in the United States. Dedicated to providing the highest quality health care services to all New Yorkers with compassion, dignity and respect, and regardless of immigration status or ability to pay. We are seeking a Director of Payroll to lead and oversee the payroll function, including daily operations, compliance, reporting, and process improvement. This permanent leadership role is responsible for ensuring payroll is accurate, compliant, and efficient. The role will address current process gaps, optimize system configuration, and streamline payroll codes and structures to improve accuracy, efficiency, and scalability. The payroll environment is primarily New York–based, with multi-state requirements as needed, including remote employees and tax jurisdiction considerations. *This position is in office 5 days per week in Manhattan. No remote opportunities exist.* Opportunity Details: Payroll Operations • Oversee end-to-end payroll operations., • Ensure accurate, timely, and reliable payroll processing., • Monitor payroll performance, issues, and operational risks., • Communicate effectively with internal and external stakeholders., • Implement cross-training to strengthen team coverage and continuity. Compliance & Payroll Tax Reporting • Ensure compliance with federal, New York State, and local payroll tax regulations., • Oversee multi-state payroll requirements, including remote employees, work location changes, and tax withholding., • Manage payroll tax filings, reconciliations, and year-end reporting, including W-2s, 941s, and state filings., • Monitor regulatory changes and implement necessary updates. Leadership • Lead, develop, and mentor the payroll team to drive accountability and continuous improvement., • Establish best practices and standard operating procedures., • Provide oversight and guidance on payroll processes. Reconciliations & Financial Oversight • Review payroll outputs for accuracy and reasonableness prior to processing., • Partner with internal stakeholders on payroll-related matters., • Identify discrepancies or trends that may affect financial reporting or workforce costs. Controls & Risk Management • Establish and maintain internal controls over payroll processing., • Ensure audit readiness with appropriate documentation., • Mitigate risks related to overpayments, misclassification, and compliance gaps. Systems & Data Management • Oversee payroll systems, including Paylocity, Workday, ADP, and Paycom., • Optimize system configuration, including pay codes, earnings and deductions structures, department setup, and reporting., • Maintain data accuracy through validation and review processes., • Support system enhancements that reduce manual effort while maintaining strong controls. Qualifications: Required • 7+ years of payroll experience, including leadership responsibility., • Strong knowledge of federal and New York payroll laws and tax reporting., • Experience supporting multi-state payroll requirements., • Hands-on experience with payroll tax filings, including 941s, W-2s, and state filings., • Advanced Excel skills, including reconciliations, large datasets, and analysis., • Proven ability to manage and sustain payroll operations in a complex environment. Preferred • Healthcare and/or union payroll experience., • Experience with payroll systems including Paylocity, Workday, ADP, or Paycom., • CPP, CPA, or similar certification. Benefits include: • 401(k) Company Contribution (subject to IRS contribution limits):, • Employees are immediately vested in a 3% company contribution of base earnings. No employee match is required., • After one year of service, employees receive an additional 7% company contribution of base earnings. No employee match is required., • Generous Annual Paid Time Off (PTO): Vacation and Holiday., • Medical, Prescription, and Dental Coverage: Top-tier plans with employee contributions significantly below market rates., • Life Insurance and Accidental Death and Dismemberment (AD&D) Coverage: Equal to 3x your salary (up to a maximum of $250,000) provided at no cost to you., • Additional employee-paid Voluntary Life and AD&D coverage is available for you and your family., • Healthcare and Dependent Care Flexible Spending Accounts (FSAs)., • Pre-tax employee-paid contributions for commuting expenses., • Annual Salary = $200,000 - $210,000 Physician Affiliate Group of New York, P.C. (PAGNY) mission is to provide accountable, responsive, quality care with the highest degree of sensitivity to the needs of the diverse population that lives in our New York Community. PAGNY is one of the largest physician groups in the country and directly employs nearly 4,000 physicians and allied health professionals who provide services to NYC Health + Hospitals, the largest municipal health care system in the nation, serving more than a million New Yorkers annually. Our providers are highly skilled professionals with outstanding credentials who deliver the highest level of quality healthcare to patients throughout New York City. Physician Affiliate Group of New York, P.C. (PAGNY) is an equal opportunity employer committed to equitable hiring practices and a supportive workplace. All candidates are considered based on their individual qualifications, potential, and experience. To learn more about our culture and ongoing workplace practices, please visit our _. *Salary Disclosure Information: The salary listed for this position complies with New York City's Salary Transparency Law for Job Advertisements. The salary applies specifically to the position being advertised and does not include benefits. Actual total compensation may vary based on factors such as experience, skills, qualifications, historical performance, and other relevant criteria.

The Director of Outpatient Behavioral Health Services provides strategic, clinical, and operational leadership for the outpatient mental health program at the Community Mental Health Clinic (CMHC) at Hoboken University Hospital. The Director is responsible for ensuring the delivery of high-quality, patient-centered care in full compliance with all applicable New Jersey Department of Health (DOH) regulations, The Joint Commission standards, and federal, state, and payer requirements. This role oversees all clinical, administrative, and financial aspects of the program, including program development. The Director serves as the designated clinical leader responsible for the oversight, quality, safety, and integrity of all behavioral health treatment services, ensuring the use of evidence-based, trauma-informed, and culturally responsive practices. Demonstrates mission and values with patients, families, peers, and other members of the healthcare team. Provides strategic, clinical, and operational leadership for the outpatient behavioral health program. Oversees all clinical, administrative, and financial aspects of the program, including program development. Ensures services meet professional, ethical, and regulatory standards (assessment, diagnosis, treatment planning, service delivery, and discharge). Ensures full compliance with NJ DOH regulations, The Joint Commission standards, HIPAA, and all applicable laws and payer requirements. Leads accreditation readiness, surveys, audits, and corrective action planning. Develops and maintains policies and procedures aligned with regulatory standards. Oversees intake, admissions, level-of-care determinations, and discharge planning to ensure continuity of care. Ensures clinical integrity through the implementation of evidence-based, trauma-informed, culturally responsive practices. Establishes and maintains appropriate clinical supervision in accordance with NJ licensure regulations. Prepares annual report and contributes to the departmental budget; monitors productivity, revenue, and expenses. Maintains a small clinical caseload as needed. LEADERSHIP: Analyzes problems effectively and carefully considers alternatives before making decisions. Keeps supervisors informed of developments and outcomes. Provides clear and consistent communication and direction to team/staff/employees. Demonstrates leadership effectiveness in managing interpersonal relationships and self. Recruits, hires, supervises, and evaluates clinical and administrative staff. Provides and oversees clinical supervision for licensed and provisionally licensed staff. Ensures staff training, competency validation, and annual performance evaluations. Promotes a culture of accountability, professional development, and clinical excellence. Plans and organizes work effectively; controls factors critical to achieving results. PATIENT RIGHTS AND ORGANIZATIONAL ETHICS: Responds to customer concerns in a timely and professional manner. Promotes a professional atmosphere through courteous communication. Observes and respects the privacy and confidentiality of information. Ensures adherence to patient rights, including grievance processes and resolution. Demonstrates mission and values with patients, families, peers, and other members of the healthcare team. CONTINUUM OF CARE: Serves as liaison between outpatient behavioral health and hospital departments (ED, inpatient, primary care, specialty services). Develops and maintains referral pathways to ensure timely access and continuity of care. Collaborates on discharge planning and care coordination with internal and external partners. Builds relationships with internal and external referral sources to support program growth. Collaborates with peers, physicians, and other members of the health care team. MANAGEMENT OF THE ENVIRONMENT OF CARE: Maintains a safe and comfortable environment for patients, visitors, and staff. Complies with policies and procedures concerning infection control and safety. Oversees patient safety, incident reporting, infection control, and emergency preparedness. EDUCATION: SELF, PATIENT AND FAMILY Maintains and develops competence through required in-service and continuing educational programs. Ensures staff training, competency validation, and annual performance evaluations are completed. IMPROVING ORGANIZATIONAL PERFORMANCE: Leads Performance Improvement (PI/PQI) activities in alignment with The Joint Commission standards. Establishes and monitors clinical quality indicators and patient outcomes. Conducts and oversees routine chart audits to ensure documentation quality, accuracy, and compliance. Tracks audit findings, implements corrective actions, and provides feedback to staff. Oversees utilization review processes to ensure medical necessity and payer compliance. Uses data to drive clinical, operational, and financial improvements. Participates in Quality Improvement activities including team membership. Education & Licensure: • Required: Licensed Clinical Social Worker (LCSW) in the State of New Jersey, • Required: NJ Board-approved Clinical Supervisor (per NJ regulations), • Preferred: Dual licensure (LCSW/LCADC), • Highly Preferred: Additional supervisory credentials such as Approved Clinical Supervisor (ACS), Certified Clinical Supervisor (CCS), and/or SIFI Certification Experience: • Minimum 5 years of progressive clinical experience in behavioral health (mental health and/or substance use)., • Minimum 2–3 years of leadership experience, including clinical supervision of licensed and/or provisionally licensed staff., • Experience in a licensed outpatient setting required; program development and expansion strongly preferred., • Demonstrated experience with regulatory compliance and accreditation standards, including The Joint Commission., • Experience with Medicaid/Medicare and commercial billing, utilization review, and documentation standards., • Supervisory experience required. Skills & Competencies: • Strong knowledge of NJ behavioral health regulations and accreditation standards, • Expertise in evidence-based practices and co-occurring disorder treatment, • Program development, strategic planning, and implementation skills, • Strong leadership, organizational, and decision-making abilities, • Experience overseeing grant-funded programs and initiatives, • Ability to define, track, and analyze key performance indicators (KPIs) for clinical, operational, and financial performance, • Proficiency in reporting tools, dashboards, and data-driven decision-making, • Excellent written, verbal, and interpersonal communication skills, • Proficiency with Electronic Health Records (EHR) and data reporting systems, • Cultural competence and commitment to equitable, inclusive care, • Ability to communicate clearly in English, both orally and in writing, • Ability to handle confidential information with discretion and integrity, • Knowledge of Medicare/Medicaid regulations and community resources

Junior Analytics Engineer Role Overview The Junior Analytics Engineer will be an integral member of the Data Analytics and Insights team, developing and maintaining data models, analytics solutions, and interactive reporting applications that support decision-making across private real estate investment funds. This role will focus on leveraging Sigma Computing and Snowflake to transform complex financial and operational data into scalable, user-friendly analytics solutions. The ideal candidate has a strong foundation in SQL, data modeling, and business intelligence, with an interest in bridging data engineering and business-facing analytics. Working closely with Data Engineers, Business Analysts, and investment stakeholders, this individual will help build reliable datasets, streamline reporting workflows, and deliver actionable insights across fund performance and operations. Key Responsibilities • Develop and maintain interactive dashboards, reports, and data applications primarily using Sigma Computing, supporting monthly and quarterly fund performance and operational reporting., • Build, optimize, and maintain SQL-based datasets and data models in Snowflake to support reporting, analytics, and business intelligence., • Transform raw source data into clean, structured, reusable datasets that support consistent reporting and analysis., • Apply dimensional modeling principles to design fact and dimension tables, star schemas, and business metrics aligned with fund valuation and reporting requirements., • Write and optimize complex SQL queries using joins, aggregations, CTEs, subqueries, and window functions across multiple data sources., • Partner with Data Engineers to understand source systems, troubleshoot data pipeline issues, and ensure reliable data availability for downstream analytics., • Collaborate with Business Analysts, fund managers, and portfolio teams to translate business requirements into effective data models, KPIs, and Sigma-based reporting solutions., • Validate data accuracy, reconcile discrepancies, and troubleshoot inconsistencies across datasets, dashboards, and reporting outputs., • Implement data quality checks, testing procedures, and validation processes to maintain the integrity of analytics solutions., • Document data models, business logic, metric definitions, and reporting workflows to promote consistency and maintainability., • Support the deployment, monitoring, and ongoing enhancement of analytics solutions, ensuring performance, scalability, and accuracy., • Contribute to analytics engineering best practices, including version control, code reviews, and standardized development workflows. Core Qualifications & Requirements • 1–3 years of experience in data analytics, analytics engineering, business intelligence, or data engineering., • Hands-on experience with Sigma Computing or a comparable modern BI platform, with a strong interest in building interactive, data-driven reporting solutions., • Strong SQL proficiency, including joins, aggregations, CTEs, subqueries, and window functions., • Experience working with Snowflake or another cloud-based data warehouse., • Solid understanding of dimensional data modeling, including fact and dimension tables, star schemas, and data relationships., • Experience developing dashboards, reports, or analytical applications that support business decision-making., • Familiarity with data transformation frameworks such as dbt or equivalent tools., • Understanding of data pipelines, source system integration, and data quality assurance., • Strong analytical, troubleshooting, and data validation skills with exceptional attention to detail., • Excellent communication skills and the ability to translate business requirements into technical solutions., • Bachelor's degree in Computer Science, Data Analytics, Finance, or a related field, or equivalent practical experience. Nice-to-Have Qualifications • Experience building dashboards, reports, or data applications in Sigma Computing., • Exposure to Power BI, Tableau, or other business intelligence platforms., • Experience with Snowflake and cloud environments such as AWS., • Familiarity with data orchestration and workflow tools such as Airflow., • Exposure to dbt, DataHub, data lineage, or automated data quality testing., • Experience within private equity, real estate, asset management, or financial services., • Familiarity with Git, version control, CI/CD, and modular development practices., • Understanding of fund reporting, investment performance, or portfolio operations. Core Technical Skills • Primary BI Platform: Sigma Computing, • SQL: Joins, CTEs, aggregations, window functions, query optimization, • Data Warehouse: Snowflake, • Data Modeling: Dimensional modeling, fact and dimension tables, star schemas, • Data Transformation: dbt or equivalent, • Cloud Infrastructure: AWS or similar cloud platforms, • Data Pipelines: Airflow or comparable orchestration tools, • Data Quality: Testing, validation, reconciliation, and troubleshooting, • Development Practices: Git, version control, documentation, and deployment workflows, • Secondary BI Tools: Power BI, Tableau, or similar platforms

🚨 WE’RE HIRING: ORACLE HCM PAYROLL LEAD Pride Health is seeking an experienced Oracle HCM professional for a contract opportunity with a corporate payroll operations team in New York City! 📍 Location: New York, NY 10041 📅 Contract: 2 months with a strong possibility of extension ⏰ Schedule: Monday–Friday, 9:00 AM–5:00 PM 🏢 Department: Corporate Payroll Operations 💰 Pay Range: $67-75/hr. Key Responsibilities: • Collaborate with HR, IT, Payroll, and business stakeholders to understand requirements and improve HR systems., • Support Oracle HCM Cloud modules, including Payroll, Absence, Time & Labor, Benefits, and Reporting., • Develop and maintain reports using BI Publisher, OTBI, and HCM Extracts., • Analyze business requirements, identify gaps, and recommend system enhancements., • Support system integrations, data migration, and data accuracy., • Conduct user acceptance testing, regression testing, and report validation. Required Qualifications: • Strong primary experience with PeopleSoft and secondary experience with Oracle HCM., • Bachelor’s degree in Computer Science, Information Systems, Human Resources, or a related field., • Strong knowledge of HRIS, payroll operations, and HR processes., • Experience with Oracle HCM Cloud and payroll-related systems. Additional Technical Requirements: • 10+ years of Oracle HCM or HRIS experience., • 5+ years developing Oracle Cloud HCM reports using BI Publisher, OTBI, and HCM Extracts., • Experience supporting Payroll, Absence, and Time & Labor., • Experience with quarterly releases, regression testing, and report validation. Preferred Certifications: • Oracle Fusion Cloud HCM: Payroll Implementation Professional., • Oracle BI Publisher or Oracle Analytics certification. 📩 Interested? Send me your updated resume via DM to discuss this opportunity! #Hiring #PeopleSoft #OracleHCM #OracleHCMCloud #PayrollJobs #HRIS #OracleFusion #TechnologyJobs #NewYorkJobs #PrideHealth Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, , legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Equal Employment Opportunity Pride Health is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Pride Health is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodation We are committed to providing reasonable accommodation to applicants and employees with disabilities. If you require reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Title: Telecom Lead Engineer Location: Harlem, NY Duration: 3-6 Month contract to hire Client: New York City HHC Top Skills' Details 1) 5 to 8 years exp. in the telecommunications/UC world supporting Telecom, or IT related including a broad knowledge of various telecom/IT products, services, and technology. This person will have to have managed a team and hands on in the telecommunications, Carrier / MDM/UC side of the house Needs to be very well versed with in all aspects of UC and telecommunications operations. Working with support systems (ServiceNow). Working with Telco's, wireless companies, cabling, etc. 2) 5 to 8 years proven experience in Telecom Management in a enterprise environment. Must also still have some hands on around Telecommunication Expense Management (TEM) and Wireless Expense management (WEM): specifically, a solid understanding of carrier billing systems; telecommunications invoicing, technical communication, circuit provisioning, configurations pricing methods, and contracts. PBX and UC , including a broad knowledge of PBX systems like NEC, Cisco VOIP. 3) 5 to 8 years working with large enterprise environments Must have great customer service and a proven experience working with and managing vendors in this space. This manager will be responsible for a large team managing all Phone services and mobile devices for the entire hospital system of NYC Health and Hospitals. Secondary Skills - Nice to Haves • servicenow, • service-level agreement, • mobile device, • telephony, • Project management, • Help desk, • unified communications Job Description HHC is looking for a Hands-on Lead/Manager for their telecommunications team to join their team with their Unified Communications telecommunications group. This person will report directly to the Director of Telecommunications for the entire Hospital system. This group is a big team, and they will be the support of the large end user environment of about 10,000 mobile devices and UC enterprise network. They could sit at multiple locations, some being North central Bronx Hospital or Bellevue Hospital or others that they support so needs to be flexible. This person will manage a team of 15 or more techs as well as support all UC service requests in Central office the Service-Now ticketing system. Participate in the evaluation of products and the use of communications equipment (UC, MDM, cabling equipment. They will handle procurement, coordinates oversee telecom and network repairs and problem resolution by vendors and processes. They will also perform project and non‐project related tasks and activities to support team goals and objectives as well as manage mobile phone recycle and inventory program Sort, file and maintains alphabetical, numerical, and subject filing systems. They will also add information and adding new staff/information and systems performance. Will maintain inventory of telecommunications devices and prepare a list of supplies to be ordered. Maintain all emergency telecommunication documentation and perform monthly invoice analysis, validation, and payment approval on wireless invoices to ensure compliance with vendor contracts. Will manage Service now ticket queue for both PBX and mobile and UC devices and perform monthly audits to determine if we should select a more cost‐effective plan, or need to update our mobile catalog, and communicate concerns to managers. The Manager of Administration will provide technical and application support for New York City Health + Hospitals, demonstrate competent IT literacy and ability to support the technology and applications in the functional areas (Clinical, Business Applications, Financial and Infrastructure Applications) the person in this role is responsible for the on-going support at level 2. Below is all that this manager will be involved in and should have a strong understanding around: • Understands the flow of information through the Financial, Business, Clinical and Infrastructure applications, • Responsible for documenting, researching and troubleshooting reported issues and requests, • Fosters a business-oriented culture and mindset driven by continual service improvement techniques, • Identifies and acts on opportunities for continuous improvement, • Understanding critical business process for supporting EITS Applications, • Triage requests or issues to ensure that our service level agreements (SLA) are achieved, • Assist with the Enterprise Service Desk call volume when needed, • Receive, prioritize, document and actively resolve end user help requests and Incidents, • Triage requests and Incidents to ensure accurate transfers and escalation, per service level agreements (SLA), • Track open tickets and monitor ticket progress per SLA, close ticket items when resolve, • Follow escalation and paging procedures to ensure SLAs are being met, • Provide support and services to users, seeking to resolve as many tickets as possible at level 1 and 2, • Provide a positive experience to users through meeting and exceeding customer expectations, and engendering confidence that tickets will be resolved, • Supervise and monitor staff, • Plan, assigns and reviews the work of subordinates., • Directs the preparation of departmental budgets in conjunction with other departmental managers., • Coordinates the activities of the various segments of the department to assure timely and economical completion of projects., • Directs the preparation of cost estimates for current and proposed projects, reflecting the cost of equipment, man and machine hours required., • Establishes, reviews and controls documentation standards, including the development and control of forms., • Directs the collection and analysis of data and reports concerning departmental operations, methods, personnel utilization, space and equipment., • Monitor daily quality of tickets, • Perform other duties and/or special projects as assigned Additional Skills & Qualifications • A Baccalaureate Degree in Business Administration, Finance, Accounting, or related fields; and,, • Five years of progressively responsible experience in the fields of administration, office management, methods analysis, systems analysis and documentation, forms designs and control, two of which shall have been in data processing and management information systems. This Manager will work and lead/ manage the UC and telecommunications operations team at North central bronx hospital, and all the other hospitals as part of the telecommunications team. . Work effectively as a telecom support team members and help build relationships within it as well as executive leadership. Actively help and support the end user environment from top executives down. Will handle all Budgeting, vendor relations, and review process for the team.

Job Role- Sr Data Architect with Finance domain experience Location- NYC, NY (Hybrid) Job Type-Fulltime About the Role We're looking for a hands-on Lead Data Architect to anchor the US side of a multi-year data platform modernization for a leading global financial services client. The program moves on-premises Hadoop workloads to Snowflake. You'll own the target architecture, work with client stakeholders, guide an India-based delivery team through an AI-assisted migration approach, and help grow the account by identifying new opportunities and shaping solutions for them. What You'll Do • Define the target Snowflake architecture, including data models, layering, and ingestion and transformation patterns., • Lead assessment and design for Hadoop-to-Snowflake migrations, deciding which assets to migrate, re-engineer, archive or retire., • Guide conversion of Hive, Spark, Python and shell workloads to Snowflake SQL and Snowpark, using AI-assisted tools with clear review controls., • Set the validation approach: reconciliation, data-quality rules, parallel runs, cutover and rollback., • Work with client architecture, security and governance teams on access, retention and compliance decisions., • Identify new growth opportunities within the account, such as further migration domains, data platform and AI-enabled consumption initiatives, by building relationships with client architects and business stakeholders., • Recommend solutions and shape proposals for these opportunities, working with Altimetrik account, sales and delivery leadership on scope, approach, estimates and commercials., • Mentor engineers and support estimates, scope and risk management. What You Bring • 12+ years in data engineering and architecture, with 4+ years of hands-on Snowflake experience., • Proven Hadoop (Cloudera, Hive, Spark) to cloud data platform migration delivery., • Strong SQL, Python and Spark; working knowledge of Snowpark, orchestration and CI/CD for data pipelines., • Experience with data modeling, lineage and reconciliation in a regulated environment., • Experience leading distributed teams and presenting to senior client stakeholders., • Track record of solutioning and proposal development, including identifying client needs, framing solutions and contributing to winning new work., • Preferred: financial services background, generative AI tooling for code conversion, SnowPro Advanced Architect certification.

OPA / POLICY-AS-CODE ENGINEER — IT ARCHITECTURE Location: Jersey City, NJ — Hybrid, 2–3 Days/Week Engagement: 3–6 Month Contract-to-Hire Compensation: Highly Competitive Compensation, Based on Expertise ABOUT THE ROLE We are seeking a highly technical, hands-on OPA / Policy-as-Code Engineer to join a lean IT Architecture team supporting a major global financial-market infrastructure organization that clears and settles trillions of dollars in financial transactions every day. This role is part of a high-visibility Enterprise Backstage / Internal Developer Platform POC focused on building standardized Golden Paths for secure, governed, automated developer self-service. This is a POC WITH AN ENTERPRISE DESTINATION — successful patterns are intended to support broader enterprise adoption. THE CORE TEAM You will join a lean, highly technical team consisting of: • 3 Multi-Skilled Backstage Engineers, • CI/CD Engineers, • SRE / Observability Engineers, • OPA / Policy-as-Code Engineer — this position Every engineer has meaningful ownership, visibility, and impact. WHAT YOU WILL DO • Develop production-quality OPA / Rego policies., • Implement policy enforcement, governance guardrails, and compliance validation within provisioning workflows., • Integrate OPA with Terraform, CI/CD/Jenkins, Backstage, Kubernetes, and OpenShift., • Help determine how Backstage and Golden Paths should integrate with and adhere to the CENTRALIZED ENTERPRISE OPA / POLICY-AS-CODE framework., • Translate governance, security, and compliance requirements into executable policies., • Support cloud governance, IAM, security guardrails, tagging standards, and policy-driven infrastructure automation., • Identify technical and architectural gaps, recommend solutions, and help implement them. WHAT WE ARE LOOKING FOR • Strong production-level Open Policy Agent (OPA) experience, • Strong Rego development experience, • Policy-as-Code within CI/CD pipelines, • OPA + Terraform integration experience, • Kubernetes / OpenShift, • Jenkins / CI/CD, • Cloud Governance, IAM, Security, and Compliance, • Enterprise security patterns, • Ability to translate governance requirements into executable Policy-as-Code STRONG PLUS • Conftest and/or OPA Gatekeeper, • Backstage / Internal Developer Platform experience, • Regulated-industry experience — Financial Services, Banking, FinTech, Healthcare, or Government, • Experience translating NIST, SOC 2, or internal controls into Policy-as-Code WHO WE WANT Technical skills are essential, but they are NOT ENOUGH. We are looking for someone who is: • TECHNICALLY STRONG — deep, hands-on engineering capability, • A PROBLEM SOLVER — brings solutions, not just problems, • AN INITIATOR — does not wait for tickets or detailed instructions, • A TEAM PLAYER — collaborates effectively across a lean engineering team, • AN OWNER — takes responsibility through delivery, • AN ARCHITECTURAL THINKER — builds for enterprise scale, not just the POC We want someone comfortable saying: “Here are the options, here are the trade-offs, and here is what I recommend — and I can help build it.” WHY THIS OPPORTUNITY This is a lean, high-visibility IT Architecture team where every engineer matters. Our guiding principle is: MAKE THE COMPLIANT PATH THE EASIEST PATH FOR THE DEVELOPER. Exceptional performers may be considered for full-time conversion, potentially around the Associate Director level, based on performance, demonstrated value, business need, and leadership approval. HIRING PROCESS Technical & Behavioral evaluation → Leadership discussion → Final selection/onboarding.

Specialist, Third Party Risk Management Work Arrangement: Hybrid – Minimum 3 days per week in office Pay Rate: $36.00–$37.50 per hour Job Type: Contract – 3 months, with potential for extension Schedule: 8-hour workday M-F Location: NY NY Responsibilities • Key ResponsibilitiesFacilitate the onboarding and ongoing maintenance of third-party suppliers in Oracle EBS, ensuring supplier records are accurate, complete, and up to date., • Manage supplier setup, updates, and compliance requests from internal business users., • Ensure supplier information and processes remain aligned with internal policies, procedures, and control standards., • Maintain and update Supply Chain intranet pages and related resources to ensure current global service information is readily accessible., • Incorporate feedback from teammates, internal customers, and suppliers to improve service quality and operational performance., • Maintain Certificates of Insurance (COI), policy documentation, and other supplier compliance records., • Review supplier documentation for completeness and compliance with company and regulatory requirements., • Collaborate with Supply Chain managers, buyers, and business partners to resolve pending requests and minimize service disruptions., • Support contingency planning and supplier governance activities., • Assist with Third Party Risk Management processes and related audits., • Review and analyze supplier data to identify discrepancies, trends, and opportunities for improvement., • Support process improvement initiatives designed to strengthen supplier governance, reduce risk, and improve the supplier and internal customer experience., • Promote a safe, inclusive, respectful, and professional work environment., • Key ResponsibilitiesFacilitate the onboarding and ongoing maintenance of third-party suppliers in Oracle EBS., • Create, update, and maintain accurate and complete supplier records., • Process supplier setup, maintenance, and compliance requests from internal business users., • Review supplier documentation to ensure completeness and compliance with company policies and requirements., • Maintain Certificates of Insurance (COI), policy documentation, and other supplier compliance records., • Support Third Party Risk Management activities, including supplier due diligence, risk assessments, issue tracking, and governance processes., • Review and analyze supplier data to identify discrepancies, trends, and opportunities for improvement., • Support audits and data validation activities related to supplier governance and compliance., • Maintain and update Supply Chain intranet pages and related resources., • Collaborate with Supply Chain managers, buyers, Legal, Risk Management, and other business partners to resolve supplier-related requests., • Monitor pending requests and help minimize delays or disruptions to procurement activities., • Support contingency planning and supplier governance initiatives., • Incorporate feedback from suppliers, internal customers, and team members to improve service quality and operational performance., • Contribute to process improvement initiatives designed to reduce risk and improve the supplier experience., • Maintain a professional, collaborative, inclusive, and respectful work environment. Qualifications • Required Qualifications 2+ years of relevant professional experience., • Bachelor's degree in a related field. Required Skills • Experience working with Oracle EBS., • Experience with Third Party Risk Management., • Advanced proficiency with Microsoft Office, particularly Excel., • Strong data review and analysis skills., • Excellent professional written and verbal communication skills., • Strong organizational skills and attention to detail., • Ability to manage multiple requests and priorities in a fast-paced environment., • Strong teamwork and collaboration skills., • 2+ years of relevant professional experience., • Hands-on experience with Oracle EBS., • Experience with Third Party Risk Management or related supplier/vendor risk activities., • Advanced proficiency with Microsoft Office, particularly Microsoft Excel., • Strong data review, validation, and analysis skills., • Excellent written and verbal communication skills., • Strong organizational skills and attention to detail., • Ability to manage multiple requests and priorities in a fast-paced environment., • Strong teamwork and collaboration skills. Preferred Skills • Preferred QualificationsExperience in Supply Chain or Procurement., • Experience with supplier onboarding and supplier management., • Experience managing Certificates of Insurance (COI)., • Experience auditing

Pay $160,000 annually Location Remote Summary Seeking an experienced Senior Security Architect to support the design, implementation, and continuous improvement of security architecture across cloud environments, enterprise applications, and infrastructure. This role will focus on enhancing cloud security posture, identity privilege models, API security, and integrating security into development pipelines. The ideal candidate will possess deep expertise in cloud security, vulnerability management, and zero trust principles, with a passion for tackling complex security challenges in a dynamic environment. Requirements • Bachelor’s degree in a technical field or equivalent experience, • 6+ years of relevant security experience, with at least 1+ year in a senior or lead capacity, • Proven hands-on experience securing AWS and/or Azure environments, • Familiarity with CNAPP/CSPM platforms and cloud security tools, • Knowledge of vulnerability management, patching, and remediation processes, • Experience with application security principles (SAST, DAST, SDLC), • Proficiency in scripting and automation (Python, PowerShell, Terraform), • Understanding of Zero Trust architecture, network segmentation, and cloud networking, • Relevant certifications such as CISSP, CEH, GIAC, or ISSAP preferred, • Strong communication skills and ability to work independently in a fast-paced environment, • Ability to collaborate with technical and non-technical stakeholders Responsibilities • Support secure architecture pattern implementation across AWS and Microsoft Azure, • Drive cloud security posture enhancements through integration of CNAPP with native cloud tools, • Collaborate with Security Operations and development teams to embed security controls into pipelines, • Lead vulnerability management, patching, and threat modeling initiatives, • Support IAM, PAM, and least privilege access models implementation, • Assist in security architecture reviews, threat assessments, and design validation, • Integrate telemetry into SIEM platforms and support security monitoring efforts, • Develop and maintain secure configuration baselines and reference architectures, • Promote a zero trust security culture across engineering and product teams, • Stay current with security trends, threats, and emerging technologies, • Partner with engineering leaders to incorporate security into product roadmaps Benefits • Opportunity to work on challenging security projects and advance your expertise, • Remote work flexibility, • Competitive salary and potential for career growth within a dynamic organization

Title: Palo Alto Networks Device Security Engineer Location: New York, NY (Hybrid – minimum 2 days onsite per week) Duration: 12+ Months contract Key Responsibilities • Lead hands-on configuration and operationalization of Palo Alto Networks Device Security through Strata Cloud Manager., • Plan and implement device discovery, profiling, classification, and inventory enrichment., • Perform device risk assessments and evaluate policy recommendations and network-segmentation requirements., • Configure, validate, and troubleshoot integrations with Palo Alto Networks Next-Generation Firewalls, Panorama, Prisma Access, Cortex XDR, Cortex XSOAR, SIEM, ITSM, APIs, and authorized asset-information sources., • Analyze device and network telemetry to identify discovery gaps, classification errors, inconsistent device records, and integration issues., • Troubleshoot connector failures, API errors, telemetry problems, and production-readiness defects., • Support architecture decisions, technical design, integration planning, testing, and production rollout., • Coordinate implementation activities across cybersecurity, network, infrastructure, operations, vendor teams, and business stakeholders., • Manage technical schedules, dependencies, risks, issues, change control, and implementation status reporting., • Develop and maintain architecture diagrams, configuration records, integration procedures, test evidence, operating procedures, and troubleshooting documentation., • Conduct production validation, support phased deployment and adoption, and coordinate operational handoff., • Provide demonstrations, mentoring, technical training, and knowledge transfer to internal teams., • Use scripting, APIs, and data-analysis tools to support integration, validation, reporting, and repeatable engineering tasks. Required Qualifications • Demonstrated experience leading or serving as the primary implementation engineer for at least one completed production implementation involving device security, IoT/OT security, or network-based asset discovery., • Hands-on experience configuring and operating Palo Alto Networks Device Security through Strata Cloud Manager., • Practical experience with device discovery, profiling, classification, inventory enrichment, risk assessment, policy recommendations, and production validation., • Strong experience configuring and troubleshooting Palo Alto Networks PAN-OS, Panorama, and Next-Generation Firewalls., • Understanding of network traffic visibility, device telemetry, policy validation, and network segmentation., • Experience integrating security platforms with enterprise systems through APIs, connectors, or integration services., • Experience diagnosing and resolving discovery gaps, classification issues, telemetry problems, connector failures, API errors, and inconsistent device records., • Experience using technical tools such as Python, PowerShell, Postman, XQL, Git, REST APIs, or comparable technologies for automation, data extraction, validation, and reporting., • Experience coordinating technical implementations, managing dependencies and risks, tracking issues, and communicating status to stakeholders., • Ability to produce clear technical documentation, including architecture diagrams, configuration records, test evidence, operating procedures, and troubleshooting guides., • Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. Preferred Qualifications • Experience with Prisma Access, GlobalProtect, Cortex XDR, Cortex XSOAR, and related Palo Alto Networks security technologies., • Experience with SIEM, ITSM, asset inventory, and enterprise security integrations., • Knowledge of IoT/OT security, device telemetry, network-based asset discovery, and segmentation strategies., • Experience with security engineering in large, distributed, multi-site environments., • Relevant Palo Alto Networks, networking, cybersecurity, IoT/OT, or project-management certifications., • Experience developing implementation plans, technical status reports, governance documentation, and operational handoff materials., • Experience delivering technical demonstrations, mentoring engineers, and transferring knowledge to operational teams.

Senior Site Reliability Engineer (Terraform & AWS) Location: New York, NY 10007 Work Arrangement: Hybrid, onsite Tuesday through Thursday Employment Type: Full-time, Permanent US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time About the Role We are seeking a Senior Site Reliability Engineer to help build, scale, and operate secure, reliable cloud infrastructure and internal developer platforms supporting healthcare products used by enterprise physician groups. This is a hands-on individual contributor role for an engineer who combines strong software development skills with deep cloud infrastructure expertise. You will take ownership of infrastructure automation, platform engineering, data infrastructure, and production reliability, helping engineering teams deliver software faster and more safely. Strong, practical experience with Terraform and AWS is essential. We are looking for someone who builds scalable solutions, improves engineering standards, and takes ownership of systems from design through production operations. Key Responsibilities • Cloud Infrastructure & IaC: Design, build, and maintain secure, scalable AWS infrastructure using Terraform, reusable modules, and standardized deployment patterns., • Platform Engineering: Build and improve internal developer tooling, CI/CD pipelines, automated testing, and local and ephemeral development environments., • Reliability & Observability: Establish monitoring, alerting, and distributed tracing standards using Datadog. Improve system availability, performance, and operational resilience., • Data Infrastructure: Own and improve PostgreSQL, Amazon RDS/Aurora, DynamoDB, and Snowflake environments, with a focus on high availability, backups, disaster recovery, and database migrations., • Automation & Software Engineering: Develop Python-based automation and infrastructure tooling while maintaining high standards for code quality, testing, maintainability, and security., • Security & Compliance: Strengthen IAM, network security, and sensitive data protection practices in a regulated healthcare environment, supporting HIPAA and SOC 2 requirements., • Engineering Collaboration: Partner with product and engineering teams to remove technical bottlenecks, establish best practices, and build reusable platform capabilities., • AI-Assisted Development: Use AI coding tools such as Claude Code to accelerate development, review, and troubleshooting, with appropriate validation and engineering oversight. Required Qualifications • 6+ years of software engineering experience, including at least 3 years in DevOps, Site Reliability Engineering, platform engineering, or cloud infrastructure., • Strong, hands-on experience with Terraform and Infrastructure as Code, including infrastructure provisioning and reusable modules., • Solid experience designing, deploying, and operating production workloads on AWS., • Proficiency in Python 3, scripting, and automation., • Experience with AWS services such as ECS/Fargate, Lambda, and Step Functions., • Experience with Docker, containerized workflows, GitHub, and CI/CD pipelines, including GitHub Actions., • Experience with Datadog or comparable observability platforms for monitoring, alerting, and tracing., • Working knowledge of PostgreSQL and cloud database services, ideally Amazon RDS/Aurora, including reliability, backups, and recovery., • Experience building and operating production systems with a focus on security, performance, and reliability., • Strong problem-solving skills, engineering judgment, and a demonstrated sense of ownership. Preferred Qualifications • Experience with Snowflake or similar cloud data platforms and DynamoDB., • Familiarity with workflow orchestration tools such as Temporal or Apache Airflow., • Experience working in healthcare, financial services, or another regulated industry., • Familiarity with HIPAA, SOC 2, IAM, network security, and sensitive data handling., • Experience building self-service developer platforms and improving engineering productivity., • Familiarity with AI-assisted software development tools and practices. What Makes This Opportunity Interesting? • Take ownership of cloud infrastructure and platform capabilities rather than simply maintaining existing systems., • Influence engineering standards, automation practices, and production reliability., • Work across cloud infrastructure, software engineering, developer tooling, and data platforms., • Help strengthen the security and resilience of technology supporting healthcare products. Interested? If you have strong hands-on Terraform and AWS experience and enjoy building reliable, scalable platforms, we would like to hear from you. Apply directly or reach out to learn more about the opportunity. A reasonable, good faith The anticipated base pay compensation range for this position is $180 K to $210 K with 10% Bonus Benefits: Full time employees are eligible For Health Insurance, Paid Time Off, and 401k match & others • The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decisionmaking. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO). At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark'. Role Description We are seeking an experienced Associate Principal – Insurance Strategy & Analytics with deep Insurance domain expertise to lead strategic AI and advanced analytics engagements for leading insurance carriers. This role is specifically focused on helping clients improve pricing effectiveness, renewal performance, customer retention, and portfolio profitability through advanced analytics and AI-driven decision solutions. As part of the Customer Success team, you will work closely with business leaders across Pricing, Actuarial, Underwriting, Analytics, and Technology functions to solve complex insurance business challenges and deliver measurable business outcomes. The ideal candidate combines strong insurance domain expertise with experience leading analytics and transformation programs and has direct experience partnering with pricing and actuarial teams on initiatives related to rate optimization, renewal pricing strategy, retention, persistency, and profitability improvement. The Role Will Involve • Partnering with Pricing, Actuarial, Underwriting, Analytics, and Technology stakeholders to define business objectives, analytical problems, solution roadmaps, and success metrics., • Leading engagements focused on pricing optimization, rate strategy, renewal pricing, customer retention, persistency, portfolio profitability, and risk segmentation., • Working directly with pricing and actuarial teams to evaluate pricing performance, rate indications, customer behavior, retention drivers, and business outcomes., • Translating complex insurance business challenges into scalable AI and advanced analytics solutions., • Managing delivery across multidisciplinary teams spanning Data Science, Data Engineering, MLOps, Application Engineering, and Business Analysis., • Understanding analytical methodologies, assumptions, constraints, trade-offs, and model outputs to facilitate effective discussions with technical teams, actuaries, underwriters, and business stakeholders., • Communicating analytical insights, recommendations, delivery progress, risks, and business impact to senior client stakeholders., • Driving executive-level stakeholder communication, governance, risk management, issue resolution, and alignment across client and internal teams., • Driving solution adoption through stakeholder engagement, demonstrations, user validation, UAT, pilots, and change management., • Identifying opportunities to expand client engagements through AI and advanced analytics-led transformation initiatives., • Operating effectively within a global delivery model and coordinating across diverse teams and time zones. Ideal Candidate Background The ideal candidate should possess strong expertise in one or more of the following areas: • Commercial Insurance or Group Insurance, • Insurance Pricing Strategy and Rate Optimization, • Renewal Pricing and Retention Strategy, • Persistency and Customer Retention Analytics, • Actuarial Pricing and Product Management, • Portfolio Profitability Management, • Price Elasticity Modeling, • Underwriting Analytics and Risk Segmentation, • Predictive Modeling, AI, and Decision Optimization, • Insurance Data and Analytics Required Experience • 8-12 years of experience in consulting, analytics, AI, digital transformation, or related client-facing leadership roles., • 5+ years of experience leading analytics, pricing, actuarial, or transformation programs within insurance organizations., • Demonstrated experience working directly with Pricing, Actuarial, Underwriting, Analytics, and Technology stakeholders., • Strong understanding of insurance pricing methodologies, renewal strategy, retention management, profitability analysis, portfolio management, and risk segmentation., • Hands-on experience supporting or leading initiatives involving rate optimization, renewal pricing, retention strategy, pricing analytics, or actuarial decision-making., • Experience evaluating analytical approaches such as price elasticity modeling, retention modeling, persistency analysis, predictive modeling, optimization, or decision science., • Ability to engage credibly with pricing actuaries, actuarial leadership, underwriting executives, product teams, and analytics leaders., • Experience leading enterprise AI, advanced analytics, or data-driven transformation programs from business problem definition through implementation and adoption., • Strong executive communication, stakeholder management, and client relationship management skills., • Experience leading global, cross-functional teams spanning Data Science, Engineering, Product, Analytics, and Business functions., • Demonstrated ability to manage complex consulting engagements, including scope, timelines, resources, risks, and commercial commitments. What Success Looks Like • Success in this role means serving as a trusted advisor to Pricing, Actuarial, and Underwriting leaders while helping clients use AI and advanced analytics to improve rate effectiveness, renewal performance, customer retention, profitability, and overall business growth. The ideal candidate brings not only strong engagement leadership skills, but also firsthand experience working on pricing and renewal-focused business challenges within the insurance industry. Recognitions • Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIMResearch., • Recognized among Inspiring Workplaces in North America, 2023., • Accredited for Inclusive Practices by Great Place to Work Institute, India., • Recognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023 by Great Place To Work® India. Being a Mathemagician • Embody MathCo’s culture and way of working., • Demonstrate ownership and strive for excellence in delivering results., • Actively engage and contribute to initiatives fostering company growth., • Support diversity and appreciate different perspectives. For more information, please visit our website.

About Alphastream Alphastream is an AI-native technology company transforming how leading private capital firms access, analyze, and operationalize investment data. Our platform combines deep private markets domain expertise, advanced AI, and structured data intelligence to power critical workflows across the private credit investment lifecycle—from origination, due diligence, and deal structuring to execution, portfolio monitoring, and investment operations. Working with some of the world's largest alternative asset managers, Alphastream is building the foundational data and intelligence layer for the next generation of private markets workflows. The Opportunity We are seeking a Senior Business Analyst with strong private credit domain expertise to work at the intersection of institutional clients, financial markets, and cutting-edge AI technology. This is a highly visible, client-facing role for someone who understands how private credit investment teams operate, can identify opportunities to improve their workflows, and can translate complex business challenges into innovative technology solutions. You will work directly with investment professionals, credit analysts, portfolio managers, legal teams, and operations leaders at leading private capital firms to understand their business needs and identify opportunities to improve efficiency, accuracy, and decision-making. A central part of the role involves partnering closely with Alphastream's engineering and data science teams to conceptualize, design, develop, and deliver industry-leading solutions that address complex challenges across the private credit investment lifecycle. You will also play an important role in developing and enhancing Alphastream's private credit taxonomies and data frameworks, ensuring that complex financial and legal concepts are accurately represented, standardized, and operationalized within our AI-powered platform. Key Responsibilities Client Engagement & Business Solutions • Serve as a trusted domain expert to leading private credit managers, engaging directly with investment, legal, portfolio management, and operations teams., • Develop a deep understanding of clients' investment processes, data requirements, existing workflows, and operational challenges., • Lead client discovery sessions and workshops to identify opportunities for automation, process improvement, and AI-driven solutions., • Work collaboratively with clients to conceptualize solutions that address complex business challenges and deliver measurable value., • Translate business needs into clearly defined use cases, functional requirements, business rules, workflows, and acceptance criteria., • Support proof-of-concept engagements, product demonstrations, solution validation, and client adoption. Solution Development & Engineering Collaboration • Partner closely with engineering and data science teams to design and build innovative, industry-leading private credit solutions., • Translate complex financial concepts, investment processes, and documentation requirements into actionable specifications for technical teams., • Provide domain expertise to guide the development of AI models, document intelligence capabilities, structured data extraction, analytical tools, and intelligent workflows., • Work iteratively with engineers and data scientists to evaluate solution approaches, refine functionality, and improve the quality of outputs., • Collaborate with engineering and data science teams to operationalize private credit taxonomies within AI models, data extraction pipelines, validation frameworks, and downstream analytical workflows., • Assess the accuracy, completeness, consistency, and business relevance of AI-generated outputs, identify gaps, and work with technical teams to address them., • Help design scalable, reusable solutions that address common challenges across institutional clients rather than isolated client-specific requirements., • Participate actively throughout the development lifecycle—from initial concept and solution design through testing, validation, deployment, and continuous improvement., • Identify opportunities to leverage emerging AI technologies to enhance existing capabilities and solve previously difficult or manual business problems. Private Credit Domain Expertise & Taxonomy Development • Provide subject matter expertise across the private credit lifecycle, including origination, underwriting, structuring, execution, portfolio monitoring, and investment operations., • Apply a strong understanding of credit agreements, loan terms, financial covenants, debt structures, borrower financials, and investment documentation., • Develop, maintain, and continuously enhance comprehensive private credit taxonomies, covering financial and legal data points, credit agreement terms, covenant structures, and other investment-related attributes., • Define standardized data definitions, classifications, relationships, and business rules to ensure consistency and accuracy across document types, transactions, and clients., • Continuously evolve taxonomies to incorporate new deal structures, market conventions, client requirements, and emerging use cases., • Analyze complex financial and legal documentation to identify relevant data points, relationships, calculations, and analytical requirements., • Ensure solutions accurately reflect the nuances of private credit transactions and the practical needs of investment professionals., • Stay current with evolving private credit market practices, documentation standards, and industry developments. Product Enhancement & Innovation • Bring client feedback, market insights, and domain expertise into the ongoing development and enhancement of Alphastream's platform., • Identify common requirements and emerging needs across client engagements that can be addressed through reusable product capabilities., • Collaborate with product, engineering, and data science teams to evaluate new features and improve existing solutions., • Help ensure Alphastream's solutions remain differentiated, innovative, and aligned with evolving institutional client needs. Qualifications & Experience Required • 3+ years of relevant experience in private credit, direct lending, leveraged finance, structured credit, or financial technology serving these markets., • Strong understanding of private credit investment processes, including credit analysis, deal structuring, documentation, and portfolio monitoring., • Practical familiarity with credit agreements, loan documentation, financial statements, covenants, and debt structures., • Demonstrated ability to engage with institutional clients or business stakeholders, understand complex challenges, and develop effective solutions., • Experience working with engineering, data science, or technology teams to design, develop, or enhance financial applications or data-driven solutions., • Ability to translate complex financial concepts and business processes into clear, actionable specifications for technical teams., • Ability to analyze complex private credit documentation and translate financial and legal concepts into structured taxonomies, standardized data definitions, and business rules., • Strong analytical skills, including the ability to evaluate data quality, investigate discrepancies, define business rules, and validate solution outputs., • Strong communication, problem-solving, and stakeholder management skills., • Ability to work independently, navigate ambiguity, and collaborate effectively across business and technical disciplines. Preferred • Experience at a leading private credit manager, alternative asset manager, investment bank, or specialized financial technology provider., • Prior experience in business analysis, solutions consulting, product development, or technology transformation within financial services., • Familiarity with AI/ML applications, large language models, document intelligence, workflow automation, and structured financial data platforms., • Experience collaborating with data scientists on AI model evaluation, validation, or performance improvement., • Experience developing or maintaining financial data taxonomies, data dictionaries, or standardized financial data models., • Working knowledge of SQL, APIs, data models, or analytical tools; hands-on programming experience is a plus but not required., • Understanding of institutional asset management systems and front-office, middle-office, and back-office workflows. What Success Looks Like • Develop strong relationships with institutional clients and become a trusted resource for solving their private credit data and workflow challenges., • Independently translate complex business problems into well-defined solutions that engineering and data science teams can build and deliver., • Develop and continuously enhance robust private credit taxonomies that support accurate, consistent, and scalable data intelligence across the platform., • Work effectively with technical teams to improve the accuracy, reliability, scalability, and business relevance of AI-powered solutions., • Help deliver differentiated, industry-leading capabilities that materially improve client productivity, decision-making, and operational efficiency., • Identify opportunities to transform client-specific requirements into reusable capabilities that benefit Alphastream's broader client base. Why Alphastream? This is an opportunity to work at the forefront of AI innovation in private markets. Unlike traditional business analyst roles focused primarily on documenting requirements or supporting existing systems, this position combines direct engagement with some of the world's leading institutional investors with hands-on involvement in developing next-generation AI-powered financial technology. You will work alongside talented engineers, data scientists, and financial domain experts to solve some of the industry's most complex challenges—and help build solutions that redefine how private credit firms operate.

Cybersecurity – Penetration Tester Contract role, onsite, Midtown NYC RedStream Technology is searching for a Penetration Tester / Ethical Hacker for their client’s Information Security team. The Penetration Tester is responsible for strengthening the client’s cyber security posture through manual and automated penetration testing, red team engagements, and offensive security assessments. The scope of the position's responsibilities includes planning and executing tests across applications, networks, and infrastructure to uncover exploitable vulnerabilities and attack paths that may be present within multiple environments. Job Description/Key Responsibilities: • Plan and execute penetration tests across web applications, APIs, mobile apps, networks, cloud infrastructure (AWS/Azure/GCP), and internal systems, • Perform manual exploitation and validation of vulnerabilities to eliminate false positives and uncover logic flaws automated tools miss, • Design, configure, and run automated vulnerability scanning pipelines to accelerate coverage and consistency across engagements, • Build and deploy AI-agent-driven testing workflows to accelerate reconnaissance, fuzzing, exploit chaining, and report generation, • Ability to analyze the environment from a threat actor's perspective, including the skill to conduct prioritized identification of vulnerable assets, and then devise techniques to exploit potential attack paths, • Identifies security risks, threats, misconfigurations and vulnerabilities of existing networks, systems, applications and develops solutions to remediate identified threats, • Perform red team engagements simulating advanced persistent threat (APT) tactics, techniques, and procedures (TTPs), • Tracking and documenting testing activities and providing updates to leadership through executive summaries and in-depth technical reports, • High performance skillset which not only understands the threat spaces as it relates to risks, but also able to meet the technical challenge of communicating this out to our client’s teams, • 3+ years of direct experience performing penetration testing / red teaming in an active corporate environment, • Experience consuming and analyzing Cyber Threat Intelligence for actionable takeaways, • Experience explaining testing objectives and findings in plain English and able to communicate associated risk, • Reporting gaps in a meaningful way that addresses a business risk as well as providing technical solutions to the operations teams in remediation is key Skills or experience required: • This is not a beginner level position and requires comfort and experience with manual security work, low level functionality, web application functionality, IT security, and vulnerability and threat management, • Minimum 3 years of experience in the practice of penetration testing / ethical hacking, • Technical Skills, • Demonstrated experience planning and executing penetration test and red team engagements, • Comfort operating in terminal environments, • Ability to analyze an architectural document and strategically probe accordingly, • Working knowledge of common (HTTP, DNS, SMB, etc.) networking protocols, • Familiar with operation of both Windows and Linux based systems, • Proficient with cross platform scripting languages such as Python or Golang, also PowerShell, • Experience working with various technologies and platforms such as AWS, Azure, O365, GCP, containers, etc., • Proficiency with industry-standard testing tools such as Burp Suite, Metasploit, Nmap, Wireshark, Cobalt Strike, BloodHound, and the Kali Linux toolset, • Practical experience integrating AI/LLM-based agents or copilots into security testing workflows (e.g., AI-assisted recon, automated exploit suggestion, agentic fuzzing frameworks) to accelerate results, • Understanding of current cyber threat landscape, the different tactics commonly used by adversaries and how one would exploit, chain, and report against similar attack paths Desired Skills: • Strong work ethic with attention to detail, • Demonstrated analytical abilities, • Attention to detail, verbal and written communication, initiative, and motivation to learn, • Strong written/oral communication skills required along with desire and ability to communicate with business leaders through all levels of the organization, • Self-motivated with excellent planning and organizational skills; and the ability to prioritize tasks to meet deadlines and effectively manage changing priorities, • Refined interpersonal skills with the ability to liaise confidently and professionally with a diverse range of people, • Professional customer orientation with a strong commitment to providing a high standard of customer satisfaction, • Ability to deliver client-ready documentation and participate in relevant client meetings, • Working understanding of project management principles, processes, and documentation, • Able to work across teams effectively and efficiently Preferred Education and Experience • Relevant industry standard certification(s) preferred: OSCP, other possibilities: OSCE, OSWE, GPEN, GXPN, CEH, CISSP, • Bachelor's degree in information technology, Computer Science, Quality Assurance or equivalent

Job Title – Data Modeler Location: Jersey City Work mode: Hybrid (4 days a week onsite) Position Overview We are seeking a skilled Data Modeler with expertise in designing, implementing, and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual, logical, and physical data models that support insurance operations, including policy administration, claims, underwriting, billing, and regulatory compliance. The role requires strong experience with Erwin Data Modeler or similar tools, deep knowledge of insurance data processes, and the ability to work closely with business and technical stakeholders to ensure data integrity, scalability, and compliance. Key Responsibilities Data Modeling & Design • Design, develop, and maintain conceptual, logical, and physical data models for insurance applications and systems (claims, policy, underwriting, billing, reinsurance, etc.)., • Build and maintain enterprise data models aligned with insurance industry standards (e.g., ACORD)., • Define data dictionaries, metadata, and relationships to support data governance and consistency., • Ensure data models are optimized for both transactional (OLTP) and analytical (OLAP) systems. Insurance Domain Expertise • Translate business requirements from claims, policy administration, underwriting, actuarial, and finance teams into scalable data solutions., • Support regulatory and compliance reporting requirements (e.g., IRDAI, IFRS, Solvency II)., • Ensure models capture core insurance processes such as claims intake, adjudication, settlement, renewals, endorsements, and cancellations. Collaboration & Stakeholder Engagement • Partner with business analysts, data architects, and developers to deliver insurance-specific data solutions., • Work with data warehouse, ETL, and BI teams to ensure seamless integration of insurance data., • Collaborate with actuaries, claims specialists, and policy teams to validate data definitions and usage. Governance & Standards • Enforce data governance and quality standards across insurance systems., • Document business rules, lineage, and data definitions for core insurance entities., • Conduct impact analysis for changes in insurance processes and data flows. Qualifications Experience • 6+ years of experience as a Data Modeler or Data Architect, preferably in the insurance industry., • Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools)., • Proven expertise in modeling insurance data entities such as Policy, Customer, Premiums, Claims, Payments, Underwriting, Reinsurance, and Agents/Brokers., • Experience working with data warehouses, data lakes, and cloud platforms (AWS, Azure, or GCP). Skills • Strong knowledge of insurance domain data flows and regulatory needs., • Expertise in conceptual, logical, and physical modeling., • Proficiency in SQL for data analysis and validation., • Familiarity with insurance standards (e.g., ACORD, ISO) is a plus., • Understanding of data governance, metadata management, and lineage tracking. Education • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. Preferred Certifications (not mandatory) • Erwin Data Modeler Certification., • Insurance certifications (e.g., AINS, CPCU) are highly desirable., • Data management certifications (e.g., CDMP). Key Attributes • Strong analytical and problem-solving skills., • Excellent communication and stakeholder management abilities., • Detail-oriented with a focus on accuracy and compliance. Ability to thrive in a fast-paced insurance environment with multiple priorities Base compensation Range : 120,000-140,000 For more information on benefits and what we offer please visit us at _

Project Description: The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications. Forward Deployed Engineers will conduct targeted, hands-on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence. The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and configuration. The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns. The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices. Responsibilities: • Lead targeted technical engagements addressing security, testing, release, resilience, and legacy technology challenges with development teams., • Assess application code, dependencies, runtime environment, test coverage, deployment architecture, CI/CD pipelines, observability, and operational risks., • Write, debug, review, and enhance production-quality code and configuration throughout engagements., • Define and implement practical modernization and remediation plans with clear priorities, dependencies, risks, and measurable outcomes., • Develop or improve unit, integration, component, contract, and deployment smoke tests using Test-Driven Development practices., • Select appropriate automation-testing approaches per application and drive implementation, including the use of AI coding assistance., • Source suitable test data and implement secure data masking for lower environments., • Conduct vulnerability triage, root-cause and dependency reachability analyses, remediation prioritization, secure code changes, and regression testing., • Upgrade Java, JVM, NPM, Spring, open-source libraries, internal dependencies, installed software, base images, and operating systems to supported versions., • Establish sustainable dependency-management processes with continuous library updates using Renovate or equivalent tools., • Modernize legacy applications and middleware stacks, including those deployed on WebSphere or WebLogic., • Containerize applications using Docker and support deployment to OpenShift., • Improve source control, branch management, pull-request, and code-review practices., • Design, implement, and optimize CI/CD pipelines to ensure safe, repeatable, automated, and easy releases., • Automate database changes using Liquibase or equivalent migration tools., • Automate installed software and environment changes using Ansible or equivalent configuration management tools., • Implement secure coding patterns, secrets management, authentication, authorization, and least-privilege controls., • Introduce standard observability patterns, including structured logging, application metrics, tracing, dashboards, alerting, and actionable health checks., • Enhance exception handling, operational diagnostics, rollback procedures, and production-validation controls., • Design or improve resilient deployment architectures, including hot-hot cross-datacenter deployments where required., • Lead technical workshops and effectively communicate technical decisions, risks, blockers, trade-offs, and progress to engineering, security, architecture, operations, project management, and stakeholders., • Provide technical leadership through code reviews, coaching, reusable standards, documentation, and knowledge transfer to development teams., • Take ownership from initial assessment through implementation, production deployment, stabilization, and handover. Mandatory Skills Description: The role demands extensive hands-on software engineering experience, with a focus on developing and maintaining production applications. Candidates must actively write and configure code, not merely oversee architecture or management tasks. Expertise in Java and JVM-based development is essential, while strong TypeScript skills are valued for Node.js-centric projects. Proficiency with the Spring ecosystem and modernizing Java enterprise applications is required. The candidate should demonstrate recent personal involvement in coding, debugging, and reviewing production code. Hard skills include practical experience in Test-Driven Development across multiple testing frameworks, with a solid understanding of various testing types such as unit, integration, and regression tests. The role involves creating automated test suites integrated within CI/CD pipelines, along with designing release automation and quality gates. Strong knowledge of secure coding practices, vulnerability remediation, and dependency risk management is necessary, including the ability to analyze application impacts before applying security fixes. Experience upgrading runtimes, frameworks, libraries, container platforms like Docker or OpenShift, and managing Linux environments—preferably Red Hat Enterprise Linux—is also important. Familiarity with build tools such as Maven, Gradle, or npm, advanced Git workflows, and comprehensive production-debugging techniques is expected. Candidates should understand application observability, exception handling, and production readiness, as well as fundamental distributed and critical system engineering principles. Soft skills focus on demonstrated ownership of complex technical work through all stages, from design to production handover. Strong client-facing communication is essential, including leading technical discussions, constructively challenging unsafe practices, and explaining trade-offs to diverse stakeholders. The ability to coach engineers and implement sustainable engineering standards without excessive customization is critical. Responsible and active use of AI coding tools to enhance engineering, testing, and delivery outcomes is also expected. • Hard skills:, • Java/JVM and optionally TypeScript development with Spring ecosystem expertise, • Test-Driven Development and automated testing within CI/CD frameworks, • Secure coding, vulnerability management, and dependency risk analysis, • Runtime, framework, library upgrades, and container platform management, • Linux system administration, build tools, Git workflows, and production debugging, • Application observability and distributed system engineering principles, • Soft skills:, • End-to-end ownership of technical projects, • Effective client communication and technical leadership, • Coaching and sustainable standards implementation, • Proficient use of AI-assisted development tools Nice-to-Have Skills Description: • Experience modernizing or migrating applications hosted on IBM WebSphere or Oracle WebLogic, demonstrating familiarity with these platforms., • Experience with major-version upgrades and migration from older versions of Spring or Spring Boot, indicating proficiency in framework transitions., • Experience configuring continuous dependency-update tools such as Renovate or Dependabot, showing capability in automating dependency management., • Experience with dependency reachability analysis, Software Composition Analysis, CVE assessment, and remediation of transitive dependencies, reflecting knowledge of software security and compliance., • Experience automating database changes using Liquibase or Flyway, indicating skills in database migration automation., • Experience using Ansible or equivalent configuration-management and deployment-automation tools, demonstrating proficiency in infrastructure automation., • Strong experience in TypeScript, Node.js, and the npm ecosystem, highlighting development expertise in these technologies., • Experience with Kubernetes in addition to OpenShift, showing understanding of container orchestration platforms., • Experience designing hot-hot, active-active, multi-region, or cross-datacenter deployment architectures, denoting knowledge of high-availability systems., • Experience with resilience testing, disaster recovery, controlled failover, and production-recovery exercises, highlighting skills in system reliability and continuity planning., • Experience with enterprise observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, reflecting proficiency in monitoring and diagnostics., • Experience modernizing monolithic or legacy enterprise applications into maintain Languages: English: C1 Advanced

Hybrid: Life and Annuity Analyst (BA) Position: BA With Insurance (annuities & Life Insurance) Location: NYC,NY - 4 days office Duration: 12 Months Summary Key Responsibilities Gather and document business and functional requirements for Life & Annuity policy administration systems. Analyze policy lifecycle processes including new business, issuance, servicing, premiums, withdrawals, loans, surrender, reinstatement, and policy changes. Work with business stakeholders, developers, QA, and product teams to deliver system enhancements. Write and execute SQL queries for data analysis, validation, reconciliation, and issue investigation. Perform data mapping and support system integrations and data conversion activities. Develop user stories, acceptance criteria, process flows, and functional specifications. Support SIT/UAT, defect analysis, and production issue resolution. Identify process gaps and recommend system/process improvements. Required Skills Business Analysis experience within Life Insurance and/or Annuities. Strong Policy Administration domain experience. Strong understanding of the Life & Annuity policy lifecycle. Hands-on SQL experience with joins, queries, filtering, aggregation, and data validation. Experience with requirements gathering, user stories, functional documentation, and testing. Strong communication and stakeholder management skills. Experience working in Agile/Scrum environments preferred.

We are seeking a detail-oriented Client Onboarding Analyst to support a global initiative focused on enhancing client onboarding and account opening systems within a leading financial institution. This role will primarily focus on User Acceptance Testing (UAT), working closely with Operations and Technology teams to ensure systems and processes function effectively across the client onboarding lifecycle. Key Responsibilities • Support the creation and validation of client- and account-level test data., • Coordinate and execute User Acceptance Testing (UAT) across global client onboarding applications and account opening systems., • Partner with global Operations and Technology teams to review test results, identify issues, and support resolution efforts., • Ensure accuracy and consistency of test data across systems., • Support ongoing improvements to client onboarding and account opening processes., • Maintain a high level of accuracy, organization, and attention to detail throughout testing activities. Qualifications • 1–3 years of experience in client onboarding, account opening, or a related function within a multinational financial institution., • Familiarity with AML/KYC onboarding processes and client account structures., • Strong analytical skills with the ability to review and manage large volumes of data., • Excellent attention to detail and organizational skills., • Strong communication skills and ability to collaborate with cross-functional teams., • Exposure to User Acceptance Testing (UAT) or system implementation initiatives is a plus., • Proactive, solutions-oriented mindset with the ability to work effectively in a fast-paced environment.

Risk Tech Analyst MUST be local to New York City, Hybrid Schedule Salary up to $100k No Sponsorship available, No Third Party Resumes will be accepted In this role, you will be part of the NPE (New product Enablement) team whose purpose is to support Quants and Risk models validation efforts. The ideal candidate will specifically help generate and assess the calculated data quality, which is a critical function to ensure a rapid time to market for new products. Support Assist Quants, Risk Analytics and Market Risk teams in generating the numbers out of the Murex & Calculation engine platforms (SIMM crif files, PL Vectors for VaR, Back testing, DRC, FRTB SA). Troubleshoot issues related to generated data quality, validating required static / market data /scenarios and other valuation settings. Rerun as needed data/files depending on various data requests from Risk Analytics/Quants users to provide end to end support on Risk framework. Business Solution Evolution Configure Murex environments, working with FO-IT & RISK-IT, to enable requested calculations. Support the evolution of the automation of data generation by giving continuous feedback to the Market Risk development team managing the local calculation platforms (Murex, Polypath, BER). Support the implementation of new products/models within the Murex and Polypath Calculation platforms & other in-house applications used at Mizuho. Support mapping configurations and data preparation required for integration with the Global Risk platform – Matsuri. Escalate problems proactively and ensure all stakeholders are kept aware of issues and their development. Develop test plans for enhancements & new products initiated by Front office or Risk and requiring analytics documentation/validation. Create and maintain a knowledge base, support scripts, documentation and procedures. Collaborate with different IT teams to support multi-platforms’ integration and risk data generation effort. Qualifications: At least 3+ years of experience supporting a Derivatives line of business (IRD, FXO, EQD) or a Market Risk cross Asset or cross-platform implementation, preferably using Murex 3.1. Working knowledge in derivatives analytics to allow engagement with Risk Managers. Working knowledge of Market Risk practices (stress testing, VaR, FRTB, Time Series and valuation). Familiarity with core calculation modules (Pricing/Position management/risk management). Usage of SQL, experience in Python, ANT scripting, JSON format. Ability to multitask several ongoing issues & assess priorities. Effective interpersonal skills and relationship-building skills. Strong written and verbal communication skills. Strong analytical and problem-solving abilities with keen attention to detail. Self-motivated and directed, with the ability to effectively prioritize and execute tasks in a high-pressure environment.

Position: Product Manager Consultant– Debt Platform Modernization Location: Jersey City, NJ-Onsite. Job Type : Contract Final Face To Face Interview Mandatory Job Description:- We are seeking an experienced Product Manager Consultant to support a strategic Debt Platform Modernization Program. This role will work closely with business stakeholders, subject matter experts, technology teams, external partners, developers, and QA engineers to define end-to-end business processes and translate them into actionable product requirements. The ideal candidate is a hands-on Product Manager who can drive requirements discovery, maintain a delivery-ready backlog, support implementation and testing activities, and ensure delivered solutions achieve the intended business outcomes. This position requires strong analytical thinking, stakeholder management, and the ability to operate effectively in complex and evolving environments. Key Responsibilities Stakeholder Discovery & Requirements Elicitation • Lead workshops and working sessions with business stakeholders, SMEs, external partners, and delivery teams., • Document current-state and future-state business processes, decision points, dependencies, and operational workflows., • Facilitate alignment across stakeholders and drive timely resolution of requirement gaps and open questions. Product Planning & Backlog Management • Partner with product leadership to translate business objectives and program priorities into a prioritized product roadmap and backlog., • Manage feature sequencing, dependencies, release scope, and sprint readiness., • Ensure epics, features, and user stories remain refined and ready for development and testing. Business Process & Requirements Definition • Define end-to-end business workflows, business rules, data requirements, exception handling processes, and integration touchpoints., • Create and maintain epics, features, user stories, process maps, and acceptance criteria., • Translate business needs into implementation-ready requirements that can be effectively executed by engineering and quality teams. Product Delivery & Cross-Functional Collaboration • Collaborate closely with developers, architects, QA engineers, business analysts, Finance, Operations, and third-party partners throughout the product lifecycle., • Participate in backlog refinement, sprint planning, implementation reviews, release preparation, and product demonstrations., • Resolve functional questions and provide ongoing business context to delivery teams. Testing, Validation & Product Acceptance • Partner with QA teams to review test strategies, test scenarios, and traceability against acceptance criteria., • Support defect triage, clarify expected business behavior, and coordinate user acceptance validation., • Evaluate completed functionality and recommend readiness for business acceptance and production deployment. User Experience & Process Design • Collaborate with business users and design teams to create and review workflow diagrams, wireframes, and prototypes using Figma., • Ensure solutions deliver intuitive, efficient, and well-controlled user experiences for both internal and external users. Debt Markets & Domain Expertise • Build and apply knowledge of debt issuance, securities settlement, trade lifecycle processes, and related operational workflows., • Leverage business and market insights to identify process improvements, challenge assumptions, and support informed product decisions. Expected Deliverables • Current-state and future-state business process documentation, • Epics, features, user stories, and acceptance criteria, • Business rules, workflow diagrams, and process maps, • Wireframes and prototype reviews, • Product backlog management and prioritization artifacts, • Product review presentations and stakeholder feedback documentation, • Requirements traceability and decision logs, • Ongoing support for implementation, testing, and product

About Haptiq Haptiq is an AI-native enterprise solutions company helping organizations transform complex data, workflows, and business processes into scalable technology-driven operations. With headquarters in New York and teams across the US, Canada, Poland, and India, Haptiq combines deep technology expertise, AI capabilities, and enterprise delivery experience to solve complex business challenges for leading companies, financial institutions, governments, asset managers, family offices, and other sophisticated organizations. Our model combines technology, AI, data, and domain expertise to help clients operate more efficiently, make better decisions, and create measurable business value. About Orion Orion is Haptiq’s AI-native enterprise operations platform, designed to help organizations connect data, automate workflows, surface insights, and turn complex business processes into intelligent, scalable operations. Orion combines enterprise data, AI, automation, analytics, and workflow capabilities into a flexible platform that can be applied across high-value enterprise use cases. We are at an important stage in Orion’s evolution: moving from a platform developed through our deep enterprise services and delivery experience toward a repeatable, scalable commercial product business. We are looking for a commercial leader who can help us make that transition. The Opportunity We are looking for a VP, Enterprise Go-to-Market – Orion to own and build the commercial engine for Orion. This is not a traditional sales leadership role. The mandate spans GTM strategy, enterprise sales, business development, partnerships, product positioning, and commercial enablement. You will define how we take Orion to market, identify where we can win, build the commercial narrative, create demand, develop strategic relationships, and personally drive high-value enterprise opportunities. The ideal candidate is an enterprise GTM / commercialization leader who can personally sell. You have experience taking complex technology to sophisticated enterprise buyers, translating technical capabilities into compelling business outcomes, and building repeatable commercial motions. You are equally comfortable developing a market strategy, writing the first sales deck, meeting with a CIO or COO, shaping a POC, developing a strategic partnership, and closing a seven-figure enterprise opportunity. This is a builder role. You will have significant ownership and autonomy to establish the GTM foundation for Orion and, over time, build the team and infrastructure around it. What You'll Own GTM Strategy • Own Orion’s GTM strategy, ICP, target markets, use cases, and commercial roadmap., • Identify priority enterprise opportunities and build a repeatable path from engagement to deployment and expansion. Positioning & Product Marketing • Own Orion’s positioning, messaging, value proposition, and differentiation., • Translate product capabilities into compelling customer outcomes and lead core commercial materials, thought leadership, and market-facing content. Enterprise Sales • Personally lead strategic enterprise opportunities from prospecting through close., • Build C-suite relationships, develop business cases and ROI narratives, and establish a scalable sales methodology and pipeline discipline. Partnerships & Business Development • Develop strategic partnerships and new routes to market across technology, consulting, data, AI, and the PE ecosystem., • Leverage Haptiq’s existing relationships to accelerate Orion’s market penetration. Build the Commercial Engine • Establish the processes, systems, KPIs, and GTM playbook needed to scale., • Build the commercial team and resources required to grow Orion over time. What Success Looks Like Success in this role will ultimately be measured by commercial traction and revenue growth for Orion, including: • Orion new-logo bookings and revenue, • Qualified enterprise pipeline, • Pipeline coverage and conversion, • Number and quality of strategic enterprise opportunities, • New enterprise customers, • Win rate and sales-cycle progression, • POC-to-commercial conversion, • Expansion opportunities within existing customers, • Strategic partnerships and ecosystem development, • Strength and clarity of Orion's market positioning, • Development of a repeatable and scalable GTM playbook The first phase of the role will involve significant 0→1 building. Over time, the goal is to create a commercial engine that can operate and scale beyond the individual. What We're Looking For Required • 10+ years of experience in B2B enterprise technology sales, GTM, commercialization, business development, or a combination thereof., • Demonstrated success selling complex technology solutions to large enterprises., • Track record of personally originating, developing, and closing significant enterprise opportunities., • Experience selling solutions involving software, AI, data, analytics, automation, enterprise technology, or digital transformation., • Strong executive presence and ability to build relationships with C-suite and senior business and technology leaders., • Ability to translate complex technology into clear business value and compelling commercial narratives., • Experience developing enterprise account strategies and navigating complex buying organizations., • Strong consultative and value-based selling skills., • Experience working cross-functionally with Product, Engineering, Delivery, and other technical teams., • Demonstrated ability to operate in an entrepreneurial, high-growth environment., • Strong commercial judgment and ability to balance strategic thinking with hands-on execution., • Excellent communication, presentation, negotiation, and relationship-building skills. Preferred • Experience selling into financial services, including private equity, asset management, banking, insurance, or related industries., • Experience with enterprise AI, data platforms, analytics, automation, workflow, or enterprise software., • Experience selling products that require technical validation, POCs, or complex implementation., • Experience taking a product or platform from 0→1 or 1→10 commercially., • Experience building GTM strategy and/or product marketing in addition to direct sales., • Experience developing strategic technology or consulting partnerships., • Familiarity with enterprise sales methodologies such as MEDDPICC, Challenger, or similar frameworks., • Existing relationships with senior leaders across financial services, private equity, or enterprise technology., • Experience working in a business that combines software/product and professional services. Why Haptiq This is an opportunity to join a company at a meaningful inflection point. Haptiq already has the enterprise relationships, technology capabilities, domain expertise, and delivery organization required to solve complex problems for sophisticated organizations. Orion gives us the opportunity to turn that expertise into a more scalable, repeatable technology platform and commercial business. You will have the opportunity to define the market strategy, shape the product's commercial identity, establish the initial customer base, and ultimately build the GTM organization around it. For the right person, this is an opportunity to build an enterprise AI platform business from the ground up—not simply inherit an existing sales organization.

Job Description Seeking an experienced IVR Tester with Spanish language proficiency to support testing activities for enterprise contact center platforms. The ideal candidate will have hands-on experience testing IVR applications, validating call flows, and ensuring a seamless customer experience across both English and Spanish interactions. Experience with contact center technologies such as Genesys, Avaya, Cyara is highly preferred. Key Responsibilities Perform functional, integration, regression, and end-to-end testing of IVR applications. Validate IVR call flows, prompts, speech recognition, DTMF inputs, routing logic, and self-service functionalities. Execute test cases for English and Spanish language IVR interactions. Verify translation accuracy and consistency of Spanish prompts and customer journeys. Test integrations between IVR, CRM systems, databases, APIs, and backend applications. Analyze call logs and IVR reports to identify and troubleshoot issues. Document test scenarios, test cases, defects, and test results. Collaborate with Business Analysts, Developers, Product Owners, and Contact Center teams to resolve issues. Participate in UAT support and production validation activities. Ensure compliance with organizational quality standards and testing best practices. Required Skills 5+ years of experience in IVR/Contact Center testing. Fluent in Spanish and English (reading, writing, and speaking). Ability to validate Spanish IVR prompts and customer interactions. Strong understanding of IVR technologies and call routing concepts. Experience with platforms such as Genesys Cloud CX, Avaya, Cyara or similar. Hands-on experience with test management and defect tracking tools (JIRA, Octane). Experience validating APIs using Postman or similar tools. Knowledge of SQL for backend data validation. Strong analytical and troubleshooting skills. Experience with automation testing tools. Knowledge of Agile/Scrum methodologies. Experience in Banking, Financial Services, or Contact Center environments. Exposure to Speech Recognition (ASR), Text-to-Speech (TTS), and Conversational AI/Chatbot testing.

Job Title : Vermilion Reporting Specialist Location : Newark, NJ onsite JD : Expectation – Day 1 Onsite Linked In profile – Include working Linked In profile in the resume else resume will be rejected. Job Title: Vermilion Reporting Specialist Job Description Key Responsibilities: Platform Configuration: Implement, configure, and customize the Vermilion Reporting Suite (VRS) to meet specific client investment reporting needs. Technical Integration: Design and manage data interfaces between VRS and external sources (e.g., SQL Server, Oracle, Markit EDM, Aladdin, API/XML/JSON). Workflow Automation: Build, test, and maintain automated reporting workflows and batch processing. Report Development: Design high-quality, branded reports and templates (PDF, MS Office, HTML) for various asset classes. Testing & Troubleshooting: Conduct system testing, data validation, and troubleshooting to ensure accuracy and platform performsce. Required Technical & Professional Skills Domain Expertise: 8–10 years of experience in enterprise software implementation, specifically within financial services/asset management. Core Technical Skills: Strong SQL (MS SQL/Oracle), ETL processes, and database debugging skills. VRS Experience: Deep knowledge of Vermilion modules, APIs, and report design. Financial Knowledge: Understanding of performance measurement, client reporting, and portfolio data (Fixed Income, Equity, Derivatives). Soft Skills: Strong project management, communication, and stakeholder management skills. Additional Tools: Experiene in PowerBI Role Descriptions: Vermilion Reporting SpecialistVermilion Reporting SuiteSQL Essential Skills: Vermilion Reporting SpecialistVermilion Reporting SuiteSQL Desirable Skills: Keyword: Java Developer Skills: PL/SQL Experience Required: 8-10 Note : Interested candidates share your resumes to sai1@vmcsofttech.com or reach me out 4804076917

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry: which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision. We help them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally. We are already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do, from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure. It's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company built to endure. If that sounds like you, join us in building what comes next. About the team Field Engineering at hx is the team that turns ambition into production reality. We sit at the intersection of deep technical delivery, customer transformation, and agentic AI, operating across the most complex pricing and underwriting challenges in the world. In the Americas, we are scaling fast, and this role is the tip of the spear: the person who will define what elite agentic field delivery looks like in the US market and build the team that executes it. This is not a management layer removed from the work. The team operates with craft at its core, building harnesses, agents, and workflows that don't just close deals but become the foundation for product capabilities used by every customer that follows. We collaborate tightly with AI R&D, Product, and Sales, and we hold ourselves accountable to metrics that matter: GWP throughput, ARR per head, time to live, and bootcamp conversion. The US Head of Agentic Field Engineering will own the full arc of the Americas technical delivery motion, from the first conversation with a underwriting leaders to live premium on the platform. This is a rare opportunity to build a function from an early stage, set the bar for what great looks like, and compound your impact across customers, product, and the people you develop. Check out our _ for a behind the scenes look at the team you would be joining! What you'll be doing • Lead the full Americas technical delivery motion end to end, personally driving bootcamps on major pursuits alongside Agent Builders, with a target of zero deals lost on technical or delivery-confidence grounds from Q3 onwards., • Quadruple GWP flowing through the platform year on year by expanding existing accounts and landing new logos, while reducing the average time to bring a new line of business live by 50% within 12 months., • Build and operate an agentic OS that systematically upskills a team of agents alongside your Agent Builders, compounding delivery productivity and reducing time to productivity for new joiners, • Land a minimum of 3 field-built capabilities into the core product by month 6 through a structured field-to-product feedback cadence operating with the Product leadership team from within 90 days of joining., • Double ARR per head year on year, measured on average ramped FTE inclusive of contractor, partner, and offshore effort, • Grow the Americas team and maintain an attrition rate below 20%, • Putting a development plan in place for every player-coach What you'll need to have done • Built agentic AI systems personally and recently, with the ability to walk through the harness architecture, toolchain, and quality validation approach you used, not just an opinion on AI but hands-on delivery., • Grown through engineering into leadership while keeping your hands in the work, whether through active side projects or a demonstrable return to building enabled by agentic AI., • Created internal tooling, harnesses, or workflows that made a team measurably faster, not just optimized delivery for clients but genuinely improved how the people doing the delivering operate., • Tackled the hard 80% of a problem when the easy 20% would have shipped sooner and demoed better, and can speak concretely to what that choice cost and why it was the right call., • Operated in enterprise go-to-market environments with long cycles, multiple buying centers, and implementations measured in quarters, holding a technical room and moving a commercial outcome in the same conversation., • Managed a leadership team of player-coaches, with a genuine track record of making those people better rather than simply directing them, and demonstrated speed of technical assimilation in a new domain under real customer pressure. Compensation $250,000 - $300,000 Benefits • $6,000 training and conference budget for individual and group development., • Full medical, dental, and vision package to fit your needs., • Mental health support via Spring Health and Rula., • Access to One Medical., • Flexible vacation policy - take time when you need it., • Pet discount plans, retirement plan (401K), and discount programs available to employees. Additional perks • Top-spec equipment (laptop, screens, adjustable desks, etc.)., • Regular remote and in-person hackathons, lunch and learns, socials, and game nights., • Team breakfasts and lunches, snacks, drinks fridge, and a fun office at our _., • Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process • Talent Partner Screen, • Hiring Manager Interview, • Skills Assessment, • Values Interview, • Meet the CEO & Co-Founder, • We offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do; it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

A leading global multi-strategy hedge fund is seeking a C++ Quantitative Developer to join a newly formed systematic equities investment team based in New York. This is a front-office role focused on the design, development and optimisation of high-performance trading infrastructure, supporting real-time signal generation and the implementation of systematic equity strategies. This position offers direct exposure to the Portfolio Manager and quantitative researchers, alongside the opportunity to shape the team's technology stack from day one. The successful candidate will play a key role in translating research into production-ready systems, building core signal infrastructure and improving performance within a fast-paced environment where technical rigour and close collaboration are highly valued. Key Responsibilities • Design and build a core C++ signal engine supporting real-time feature computation, alpha signal generation, position tracking and risk monitoring., • Develop efficient data integration between production C++ systems and Python-based research workflows., • Implement and optimise the publication of real-time alpha signals into shared execution infrastructure., • Integrate trading systems with central market data feeds and execution platforms., • Develop real-time risk checks, position monitoring, logging and alerting infrastructure., • Optimise system latency and throughput through performance profiling, memory management, concurrent programming and network tuning., • Work closely with quantitative researchers to translate Python prototypes into robust, production-grade C++ code., • Build and maintain backtesting and exchange simulation infrastructure to support strategy validation., • Apply AI-assisted development tools to improve development efficiency while maintaining code quality., • Contribute to the architecture, reliability and ongoing enhancement of the team's trading technology. Requirements • At least 3 years of hands-on experience developing high-performance C++ server-side applications within a Linux environment., • Strong understanding of real-time and event-driven architectures with demanding latency requirements., • Proficiency in Python and working knowledge of Polars, Pandas, NumPy and the wider Python data ecosystem., • Strong familiarity with Apache Arrow and columnar data formats for efficient cross-language interoperability., • Strong understanding of network programming, Linux internals and systems optimisation., • Experience consuming real-time market data feeds and integrating with execution platforms., • Solid knowledge of data structures, algorithms and concurrent or multithreaded programming., • Proficiency with Git, CI/CD, unit testing and software engineering best practices., • Experience with AI-assisted coding tools and willingness to incorporate them into daily development workflows., • Experience building trading systems within systematic equities or quantitative trading is advantageous., • Experience in Finance minimum 1 year., • Familiarity with equity market microstructure, low-latency optimisation, Rust, kdb+/q, analytical databases or cloud infrastructure is beneficial., • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or a related quantitative discipline. To discuss this role in further detail please get in touch and send your resume to: graham@pointonetalent.com www.pointonetalent.com

At Guac, we're solving grocery food waste with AI. We forecast exactly how much of each product will sell, helping grocery retailers order and produce the perfect amount of inventory — and we're building AI-native tools that put those forecasts directly into the hands of store operators and buyers. The grocery industry is enormous (it accounts for 4% of GDP) — and grocery food waste is a huge cost to grocers' bottom lines, but also to our planet. Today, we're working with major supermarket chains in the US and Canada, and we've scaled to 7-figures in ARR. We're backed by leading investors including Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Open AI, Instacart, and Citadel Securities. We've brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity and waste with technology. We're looking for a QA Engineer to own quality and testing across our web and mobile products on an initial 3–4 month contract, with potential to extend. About the Role As our first dedicated QA hire, you'll shape how quality works at Guac. Your responsibilities will include: • Review requirements and designs for new features, write thorough test plans, and execute them before launch, • Own the regression testing process ahead of each release across our React/Next.js web app and React Native mobile app, • Write clear, reproducible bug reports and drive defects through to resolution, • Lead the buildout of our automated end-to-end test suite, progressively replacing manual regression with reliable automation, • Write and maintain API-level tests to validate backend integrations, • Use AI tools to accelerate test authoring, surface edge cases, and improve coverage About You • 3+ years of QA experience on web and/or mobile applications, • Strong ability to write thorough test plans and reproducible bug reports from requirements or designs, • Experience with test automation frameworks (Playwright, Cypress, Detox, Maestro, or similar) — you've built suites from scratch before, • Experience with API testing (Postman, REST Assured, or similar), • Comfortable working async with minimal supervision, • Available during core ET business hours when needed e.g. during release cycles (10am–6pm ET), • (Bonus) Experience with our stack: Playwright, Jest, Maestro, React/Next.js, React Native, • (Bonus) Experience testing logistics, supply chain, grocery, or fulfillment software, • (Bonus) Familiarity with CI/CD pipelines (GitHub Actions, CircleCI) and SQL for data validation, • (Bonus) Daily use of AI coding tools (Claude, Cursor, Copilot) to ship faster Engagement • Independent contractor, ~20 hours/week, • Initial 3–4 month contract with strong potential to extend in duration or expand in hours, • Remote, flexible, with at least partial availability during core ET hours, • Open to candidates outside the US Our Tech Stack • Web: React, Next.js, Playwright, Jest, • Mobile: React Native, Maestro, • API: Postman, Bruno

About Encore Finance Encore Finance is a private real estate lender focused on building lasting relationships with real estate investors. Led by experienced real estate professionals, Encore provides financing solutions that help borrowers grow their businesses. The Opportunity As Senior Data Engineer you will own the architecture, development, and operation of our data platform. Reporting directly to COO, you will partner with business teams to turn operating priorities into practical solutions, building and implementing reporting infrastructure, data ingestion, document extraction, and workflow automation. This hands-on, individual contributor role combines technical direction with execution and requires close collaboration with colleagues to resolve data issues and deliver maintainable tools. Located in NYC (Mid-town) or Hollywood, FL office. What You’ll Do · Own the data platform. Assess the current environment, define the architecture and roadmap, and build reliable infrastructure that scales with the business. · Connect business systems. Develop and maintain pipelines across Zoho CRM, Azure, SharePoint, Microsoft 365, loan systems, servicing partners, and external data providers. · Create consistent data models. Organize all source data with clear relationships, documented metrics, and historical records that support point-in-time reporting. · Build ingestion and extraction tools. Create reusable services and internal tools that collect, validate, and structure data. Apply AI-assisted extraction where appropriate, with validation and human review for uncertain results. · Automate operational processes to replace repetitive tasks. Use orchestration software tools and custom code as appropriate. · Establish data quality. Detect data defects and work with business teams to improve data hygiene at their source. · Implement monitoring, failure alerts, recovery procedures, testing, and deployment processes. Maintain clear technical documentation and coordinate with technology and security partners on access controls and protection of sensitive information. · Enable dashboards and analytics to deliver trusted datasets, data models, and APIs that support reporting, portfolio monitoring, and analytics. Partner with dashboard creators on definitions, performance, and access, and build lightweight interfaces where needed for data ingestion or validation. · Guide technology and AI decisions. Partner with leadership on AI priorities and evaluate existing tools based on reliability, security, maintainability, and cost. What You’ll Bring · 5-10+ years of data engineering experience, including ownership of production pipelines and data infrastructure. · Strong SQL and Python skills with building integrations, transformations, and data quality checks. · Experience designing and operating a cloud data warehouse or database platform. · Demonstrated ability to deliver projects from business requirements and architecture through implementation, deployment, and ongoing support. · Experience integrating APIs, databases, spreadsheets, and file-based sources. · Familiarity with Microsoft 365 and SharePoint integrations or comparable enterprise environments. · Experience with workflow orchestration, Git version control, testing, and deployment practices. · Strong communication skills and the ability to work directly with non-technical stakeholders to understand processes and resolve data issues. · A degree in computer science, information systems, or equivalent practical experience. Experience that would be helpful · Mortgage lending, real estate finance, private credit, banking, or another financial services business. · Loan origination, servicing, financing facilities, securitization, or investor reporting data. · Building a data platform as an early or first engineering hire. · Document processing and AI-assisted extraction, including accuracy evaluation and exception handling. · Supporting business intelligence tools and collaborating with end-user stakeholders. Compensation New York Salary Range: $170,000 - $210,000 Eligible for discretionary annual performance bonus and Encore’s comprehensive benefits package which includes a generous employer contribution to medical, dental, vision insurance with HSA, FSA, Wellbeing benefits, 401k, pre-tax commuter benefit, Paid Time Off and 10 Paid Holidays. Why Join Encore You will have meaningful responsibilities for Encore’s data platform, direct access to leadership, and a close partnership with investors. Your work will directly impact how teams operate, how senior management evaluates the business, and how AI and technology support the firm’s growth.

Insights & Strategy Associate Salary (depending on experience): $65,000 - $85,000 NOTE: Please do not apply if you are not able to work without any restrictions of work permits now or in the future, as this role is not eligible for sponsorship. About the job If you are ready to drive high-impact insights and lead client-facing engagements in a fast-paced, entrepreneurial environment, then this role at Azurite Consulting may be the right next step for you, as you aim to cut through the noise to deliver sharp, decision-ready insights. You’ll bring best practice and unique perspective, run bespoke survey and expert interview studies, and craft data-driven narratives that guide C-suite decisions and investor strategies. Azurite Consulting is a boutique primary research consultancy led by former McKinsey consultants. We work with leading private equity firms, hedge funds, and global corporations to uncover the market signals that matter—and turn them into actionable strategies. This is a hybrid role with the expectation to be in the Jersey City office 2-3 days per week to collaborate and work side-by-side with the team. Key Responsibilities • Develop capabilities across the full research process, from translating client business challenges into structured research questions through synthesizing findings into actionable insights and recommendations., • Build strong problem-solving skills by partnering with team members to frame business questions, identify key decisions research should inform, and contribute thoughtful perspectives to project discussions., • Learn and apply Azurite’s unique research methodologies to support the design and development of surveys, discussion guides, and other research instruments, including defining objectives and drafting questionnaires., • Support the design and execution of research engagements by independently managing defined workstreams and project components with guidance from senior team members., • Analyze qualitative and quantitative data using Excel and other tools, synthesizing findings into clear narratives, business implications, and strategic recommendations for Azurite’s clients., • Create client-ready presentations and research deliverables in PowerPoint ensuring accuracy, clarity, and strategic relevance., • Conduct quality assurance activities across the project lifecycle, including survey testing, data validation, deliverable reviews, and final client-ready checks., • Support day-to-day project management and coordination activities, including maintaining timelines, communicating with internal and client stakeholders, and helping ensure successful project execution., • Participate in senior client meetings, presentations, workshops, and debrief sessions, with opportunities to present findings and recommendations and lead select portions of discussions as experience grows., • Develop trusted client relationships through proactive communication, responsiveness, and a consultative approach to addressing client needs and challenges., • Identify opportunities to improve team processes, best practices, and ways of working, including the appropriate and effective use of AI-enabled tools to enhance efficiency and quality., • Balance multiple projects and competing deadlines in a fast-paced environment, demonstrating strong organization, adaptability, and ownership of deliverables., • Take responsibility for the quality, accuracy, and integrity of assigned work while operating with increasing independence and demonstrating strong potential for future leadership and client management responsibilities. What Success Looks Like • Produces high-quality analyses and deliverables with attention to detail., • Demonstrates curiosity and sound judgment when solving business and research challenges., • Synthesizes data into meaningful insights rather than simply reporting findings., • Communicates effectively across all levels of the firm and client teams., • Takes ownership of assigned workstream components and follows through with limited supervision., • Collaborates in an innovative team environment and focuses on continuous improvement. Qualifications, Skills & Competencies • Strong interest in joining a boutique research and consulting firm with an entrepreneurial mindset and growth-oriented culture., • Bachelor’s degree or equivalent professional experience., • 2-3 years of experience in a consulting, insights, research, and / or analytics, insights role., • Demonstrated ability to analyze, synthesize, and translate data into clear, actionable business insights and recommendations., • Proficiency in PowerPoint and Excel, including developing client-ready presentations, data visualizations, pivot tables, and analytical models., • Foundational understanding of statistical concepts and research methodologies., • Strong conceptual, analytical and quantitative thinking, intellectual curiosity, and interest in primary research and survey-based senior executive insights., • Effective written and verbal communication skills, with the ability to tailor messages to different audiences., • Strong business acumen and a consultative, problem-solving mindset., • Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment., • Collaborative team player who demonstrates initiative, accountability, and a commitment to delivering high-quality work with professionalism and integrity. About Azurite Consulting Azurite Consulting is a research and insights firm that partners with major corporations and investors to inform complex business and investment decisions. By recruiting participants directly from targeted industries and markets, the firm delivers specialized perspectives from professionals with relevant experience and expertise. Founded by former McKinsey consultants, Azurite Consulting emphasizes collaboration, critical thinking, and high-quality execution. Team members work across all stages of the project lifecycle, gaining exposure to research design, data analysis, strategic decision-making and stakeholder communication. Disclaimer Azurite Consulting is an equal employment opportunity employer. The company strictly prohibits its employees, recruiters, affiliates, and other stakeholders from discriminating or harassing any employee, contractor, or other stakeholder in either the application process or any other point in time whether this because of actual or perceived age, race, sex, color, ancestry, gender, national origin, marital or partnership status, familial or caregiver status, military and veteran status, domestic partnership status, physical or mental disability (including genetic information and characteristics), alienage or citizenship status, political affiliation or activity, religion (including religious dress attire and grooming), creed, personal appearance (including hair texture and hairstyles), pregnancy, childbirth or related conditions, breastfeeding or related conditions, sexual orientation, gender identity, gender expression or transgender status, sexual and reproductive health decisions, status as a victim of domestic violence, stalking, sex offense or other crime, arrest or conviction record, need for pre-employment marijuana testing, unemployment status, credit history, salary history, or any other characteristic protected by federal, state or local laws, regulations or ordinances. The company also strictly prohibits any form of retaliation against anyone who makes or supports a formal or informal complaint regarding discriminatory or harassing behavior. The essential functions of this position may require physical travel, pushing, lifting, and pulling moderately heavy objects (up to 40 pounds), as well as sitting, standing, communicating, operating a computer, and/or being present in an office or public environment for long periods of time. Necessary reasonable accommodations based on disability, pregnancy, gender identity, religious beliefs, or any other characteristic protected by federal, state, or local law will be provided so that applicants may fulfill the application process and employees can perform the essential functions of their jobs, so long as such accommodations are reasonable and do not pose an undue hardship. Please contact us at any time during the application process or, if hired, during employment if you require a reasonable accommodation.

WHO WE ARE AVI-SPL is a digital enablement solutions provider who transforms how people and technology connect to elevate experiences, create new value, and enable organizations to thrive and grow. We are the largest provider of collaboration technology solutions, which include our award-winning managed services. Our highly certified industry experts and innovation leaders share a vision to help people work smarter and live better. We believe that success starts with a sound team and that an inclusive and diverse workplace moves us all forward. WHAT YOU’LL DO The Senior Event Support Engineer is responsible for the technical operation, support, and maintenance of client's Executive Conference Center and other high-profile collaboration spaces. This role serves as the highest level of onsite AV support, providing white-glove service for executive meetings, client presentations, hybrid events, and live productions while ensuring mission-critical spaces remain operational and production-ready. The engineer acts as the primary technical lead for complex AV systems, partnering with AV Engineering, Workplace, IT, and Event teams to deliver flawless meeting and event experiences. Key Responsibilities: • Provide Tier 3 technical support for executive meetings, client events, town halls, and hybrid productions., • Operate and support production-grade AV systems including audio mixers, video switchers, PTZ cameras, Q-SYS DSP/control, Dante audio, NDI, IPTV, and AV-over-IP systems., • Own the daily operation, readiness, and preventative maintenance of the Executive Conference Center, including standard conference rooms, boardrooms, divisible meeting spaces, and multi-purpose event spaces., • Perform advanced troubleshooting of AV, networking, control systems, audio, and video signal flow; serve as the primary escalation point for complex issues., • Conduct pre-event testing, technical rehearsals, onsite event support, and post-event system validation., • Coordinate with AV Engineering, Workplace, IT, Networking, vendors, and event stakeholders to ensure successful event execution., • Maintain system documentation, firmware, inventory, and operational standards while identifying opportunities for continuous improvement., • Support commissioning of new AV systems, technology evaluations, and deployment of enterprise AV standards. Items to Consider: • AVI-SPL reserves the right to alter work hours and work location as necessary. Work hours may vary based on event requirements and may include occasional travel to various locations in support of the client., • This position will generally work in a professional office environment as well as on client sites. WHAT WE’RE LOOKING FOR Must-Haves: • 3-5 years of professional AV experience supporting enterprise conference centers, executive environments, or live production spaces. 7+ years preferred., • Strong experience with Zoom Rooms, Q-SYS, Dante, NDI, digital audio consoles, video switchers, PTZ camera systems, IPTV, and enterprise AV networking., • Advanced troubleshooting skills across AV hardware, control systems, networking, and signal distribution., • Excellent communication skills with the ability to support executive leadership and high-profile events in a fast-paced environment. Preferred Certifications: • AVIXA CTS-I/CTS-D, • Q-SYS Level 2, • Dante Certification, • Zoom Rooms Certification, • Manufacturer certifications (Logitech, Shure, Crestron, etc.) WHY YOU’LL LIKE WORKING HERE • Medical benefits, including vision and dental, • Paid holidays, sick days, and personal days, • Enjoyable and dynamic company culture, • Training and professional development opportunities MORE ABOUT US AVI-SPL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or membership in any other group protected by federal, state, or local law. AVI-SPL is an AA/Disabled/Veteran Protected Employer VEVRAA Federal Contractor. Pay Type - Hourly Min Base - $39.42 Max Base - $50/hr

The Impact you will have in this role: Being a member of IT Cybersecurity & Platform Strategy team, you will build and operate the next generation of AI-powered vulnerability discovery capabilities used to identify security weaknesses across thousands of applications and repositories. This role sits at the intersection of Application Security, AI Engineering and Platform Engineering. You will design, develop and scale AI scanning harnesses, agent frameworks and model integrations that enable large-scale security analysis using AI models. Your work will directly influence how DTCC leverages AI to discover exploitable vulnerabilities, validate findings, reduce false positives and accelerate security outcomes across the enterprise. Your Primary Responsibilities: • Design, build and operate AI-powered vulnerability scanning harnesses and supporting platform capabilities., • Develop integrations with large language models and AI platforms., • Create and maintain prompt frameworks, agent workflows and security-focused AI orchestration logic., • Build scalable scanning infrastructure supporting large-scale repository and application analysis., • Optimise harness performance, throughput, cost efficiency and model utilisation., • Develop validation, verification and false-positive reduction mechanisms., • Integrate AI scanning capabilities into software development and security workflows., • Evaluate new AI models, scanning techniques and agentic security approaches., • Develop supporting tooling for scan execution, scheduling, orchestration and reporting., • Enhance contextual analysis by incorporating security controls, architecture data and remediation intelligence., • Work closely with AppSec, Vulnerability Operations and software engineering teams to drive adoption., • Contribute to secure platform design, isolation controls, monitoring and operational resilience., • Support research and innovation in agentic AI, automated vulnerability discovery and AI-assisted security testing. NOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications: • Minimum of 8 years of related experience, • Bachelor's degree preferred and/or equivalent experience Talents Needed for Success: • 6+ years of software engineering experience with strong emphasis on Python and distributed systems development, • Deep expertise building scalable software platforms, test harnesses, frameworks, or orchestration platforms, • Strong experience integrating Large Language Models through APIs and SDKs, • Experience building evaluation frameworks, benchmarking systems, automated testing platforms, or AI experimentation environments, • Experience designing and maintaining multi-model orchestration workflows across Claude, OpenAI, Bedrock, or equivalent platforms, • Strong experience developing microservices and APIs using Python and/or Java, • Experience building data processing pipelines, queue-based architectures, and event-driven systems, • Experience with Docker, Kubernetes, OpenShift, and cloud-native deployments, • Experience operating applications within AWS environments, • Experience building automated testing frameworks, regression suites, and validation pipelines, • Experience handling structured outputs, prompt engineering, model evaluation, and result normalization, • Experience designing scalable ingestion, correlation, and analysis pipelines, • Strong understanding of software engineering best practices, testing, observability, and operational excellence, • Experience with Git, Bitbucket, Jenkins, Jira, and modern CI/CD tooling Preferred Qualifications • Experience developing AI scanning harnesses, agent frameworks, or autonomous workflow systems, • Experience working with security scanning technologies and vulnerability discovery platforms, • Familiarity with application security concepts and vulnerability management processes, • Experience designing AI model evaluation and accuracy measurement frameworks

Senior Power BI Engineer – Front Office Investment Data Company Overview: Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients drive smarter decisions, reduce risks, and stay ahead in a fast-evolving market environment. About the Role Senior BI Engineer – Power BI Migration We are seeking an experienced Senior BI Engineer to support a strategic enterprise BI modernization initiative focused on migrating legacy MicroStrategy reporting and analytics capabilities to Microsoft Power BI. This is a hands-on role for a senior engineer who can independently drive report conversion, semantic model design, validation, deployment, and user enablement in a complex financial-services environment. Key Responsibilities • Lead migration of MicroStrategy reports, dossiers, metrics, attributes, and semantic models to Power BI., • Design scalable Power BI architecture, including workspaces, semantic models, RLS, certified datasets, and deployment pipelines., • Translate legacy BI logic into DAX and Power Query (M) while maintaining reporting accuracy and business consistency., • Reconcile and validate migrated reports against legacy outputs and underlying source data., • Partner with Data Engineering and business teams across Portfolio Management, Trading, Risk, and Operations., • Build reusable migration patterns, documentation, and Power BI training materials for end users., • Track migration progress, dependencies, and stakeholder sign-off through Agile delivery tools such as Jira., • Leverage AI-assisted development tools to accelerate migration, testing, documentation, and analysis. Required Qualifications • 10+ years of BI / Analytics Engineering experience, • Expert-level Power BI skills, including semantic modeling, DAX, Power Query, RLS, and deployment pipelines, • Strong SQL skills, • Experience with Snowflake or similar cloud data platforms, • Proven experience with enterprise BI migration or modernization programs, • Strong understanding of data modeling, reconciliation, lineage, and reporting controls, • Ability to work independently and drive complex initiatives to completion Preferred Qualifications • Hands-on MicroStrategy experience, including reports, dossiers, metrics, attributes, semantic models, or REST APIs, • Experience migrating MicroStrategy to Power BI, • Asset Management, Investment Management, Capital Markets, or Financial Services background, • Familiarity with investment data such as positions, transactions, pricing, security master, portfolios, and risk data, • Experience with AI-assisted tools such as Claude, Copilot, or Cursor, • Experience delivering BI training or user enablement Compensation: The base salary range for this role is $160,000 - $190,000 Benefits: • Choice of medical, dental, vision insurance., • Voluntary benefits., • Short- and long-term disability., • HSA and FSAs., • Matching 401k., • Discretionary performance bonus., • Employee referral bonus., • Employee assistance program., • 11 public holidays., • 20 days PTO., • 7 Sick Days., • PTO buy and sell program., • Volunteer days., • Paid parental leave., • Remote/hybrid work environment support. For more information about BIP US, visit https://www.bip-group.com/en-us/. Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to

Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit _ for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4–6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics • Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics., • Design and execute advanced statistical analyses to identify business trends, risks, and opportunities., • Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets., • Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization., • Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues., • Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development • Design and implement end-to-end machine learning pipelines from data ingestion to deployment., • Perform feature engineering, feature selection, and data transformation to improve model performance., • Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies., • Optimize machine learning algorithms for scalability, accuracy, and interpretability., • Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration • Partner with data engineering teams to build scalable data pipelines and analytical data models., • Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms., • Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication • Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics., • Present analytical findings, model results, and recommendations to both technical and non-technical audiences., • Translate complex data science concepts into business-friendly insights and actionable recommendations., • Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting • Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools., • Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field., • 5+ years of applied machine learning, data science, or AI experience in a professional setting., • Demonstrated experience owning projects or major workstreams from initial problem definition through delivery., • Excellent programming skills in Python to include strong overall OOP experience., • Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks., • Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider., • Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI., • Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining., • Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar., • Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services., • Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous., • Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams., • Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders., • High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: • Hands-on experience with the C3 AI platform., • Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role., • Experience delivering AI solutions for large enterprises or Fortune 500 clients., • Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries., • Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization., • Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

NO THIRD PARTIES PLEASE Director of Standards and Integration (Right to Hire) You will lead and coordinate assurance execution for enterprise data quality and Responsible AI controls, ensuring that prioritized data products, critical data elements, AI products, models, and GenAI solutions are assessed against defined standards, thresholds, and evidence expectations. The role requires strong technical judgment, disciplined execution, and the ability to work across global stakeholders to convert governance expectations into repeatable testing, monitoring, and reporting practices. You will help build and scale an integrated Data Quality and AI assurance capability that supports intake, risk classification, pre-release review, production monitoring, exception management, and audit-ready documentation. This includes supporting the development of dashboards, KPI/KRI reporting, control execution routines, and evidence packages that provide transparent visibility into data quality health, AI risk posture, remediation progress, and adherence to enterprise policy and standards. Responsibilities: • Lead assurance execution for Data Quality and Responsible AI controls across prioritized data products, AI products, models, GenAI use cases, and enterprise control plane capabilities., • Translate data and AI policy requirements into practical assurance procedures, test scripts, control checks, documentation standards, and evidence expectations., • Define and execute data quality assessment routines, including profiling, completeness, accuracy, timeliness, consistency, validity, lineage, metadata quality, and fit-for-use reviews., • Support Responsible AI assurance checkpoints across the AI lifecycle, including intake, risk tiering, pre-deployment review, production monitoring, periodic review, and change governance., • Review AI and data product evidence for adherence to standards, including approved data source usage, documented controls, explainability artifacts, monitoring thresholds, exception handling, and remediation plans., • Develop and maintain dashboards, scorecards, and KPI/KRI reporting that provide visibility into data quality health, AI risk indicators, control effectiveness, exceptions, and remediation progress., • Coordinate issue triage, severity assessment, root cause documentation, remediation tracking, SLA monitoring, and closure evidence for Data Quality and Responsible AI findings., • Partner with product owners, data domain teams, technology, MLOps, DataOps, model risk, legal, compliance, privacy, information security, and audit stakeholders to embed assurance practices into delivery workflows., • Support pilots and scale-out of the integrated Data Quality and AI control plane, including executable rules, monitoring routines, exception management workflows, and reusable playbooks., • Prepare governance materials, management reporting, and audit-ready documentation for working groups, leadership forums, control partners, and senior stakeholders., • Identify opportunities to automate control testing, evidence capture, monitoring alerts, dashboarding, and policy-to-rule translation across enterprise platforms and tooling., • Provide day-to-day leadership, coaching, and quality review for analysts, specialists, or execution partners supporting Data Quality and AI assurance activities in India and globally. Skills and Expertise: • Significant experience in data quality, data governance, AI governance, model risk, technology risk, audit, compliance, analytics, data engineering, or related disciplines, preferably in a large global or regulated organization., • Strong understanding of data quality dimensions, profiling, rules, thresholds, controls, monitoring, issue management, remediation, lineage, metadata, and critical data element management., • Working knowledge of Responsible AI concepts, including fairness, explainability, transparency, robustness, privacy, human oversight, model monitoring, drift, bias indicators, and AI lifecycle governance., • Experience designing or executing assurance, control testing, evidence review, audit readiness, or quality review processes for data, analytics, AI, or technology products., • Ability to translate policies, standards, and control requirements into executable procedures, testing routines, reporting requirements, and operational playbooks., • Hands-on experience with reporting and dashboarding tools such as Power BI, Tableau, Grafana, Streamlit, Dash, or similar platforms., • Familiarity with data governance, data quality, metadata, catalog, observability, ModelOps, or workflow tools such as Ataccama, Collibra, Informatica, Denodo, ServiceNow, Jira, or similar platforms., • Strong analytical skills, with the ability to interpret data quality results, AI risk indicators, control failures, trends, exceptions, and remediation status., • Excellent documentation and communication skills, with the ability to produce clear governance materials, executive-ready summaries, testing evidence, and issue narratives., • Strong stakeholder management and collaboration skills across business, technology, risk, compliance, legal, audit, and global delivery teams., • Demonstrated ability to lead execution in a matrixed environment, manage competing priorities, and drive outcomes with discipline, accountability, and attention to detail., • Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or a related field; advanced degree preferred. Preferred Qualifications • Experience in financial services, insurance, asset management, banking, or another highly regulated industry., • Experience supporting global teams, including coordination across U.S. and India time zones., • Familiarity with frameworks and standards such as NIST AI Risk Management Framework, ISO/IEC AI management standards, DAMA-DMBOK, DCAM, or similar data and AI governance frameworks., • Exposure to AI/ML development, MLOps, GenAI, large language models, retrieval-augmented generation, model validation, or model monitoring practices., • Experience with SQL, Python, R, data profiling, data observability, automated testing, or analytics engineering practices., • Certifications such as CDMP, DGSP, CISA, CRISC, ISO, cloud data certifications, AI governance credentials, or relevant risk and compliance certifications. What Success Looks Like • Data Quality and AI assurance routines are executed consistently, with clear evidence, documented outcomes, and timely escalation of material risks or exceptions., • Dashboards and reporting provide transparent visibility into data quality health, AI risk posture, control effectiveness, and remediation progress., • Assurance findings are translated into practical remediation actions, tracked to closure, and used to improve standards, controls, and operating practices., • Business, technology, and control partners understand what is required to demonstrate that data and AI products are compliant, monitored, and fit for purpose. Send resumes to jvale@jsrtechconsulting.com

Role Overview We are seeking an experienced Quantitative Researcher to join Systematic Trading at Jain Global. The role is focused on systematic global equities research, with holding horizons ranging from overnight to multi-day and longer-term. We are looking for researchers with a demonstrated track record of developing successful quantitative signals and investment strategies. The role offers the opportunity to contribute across the broader investment process, including data exploration, signal research, modeling, portfolio construction, strategy implementation, and productionization. You will own research from idea generation through strategy development, validation, implementation, and ongoing evaluation. You will work closely with other quantitative researchers, developers, and technologists to identify new sources of alpha, improve existing strategies, and build robust and scalable systematic investment processes. The ideal candidate combines strong quantitative and programming skills with sound research judgment, intellectual curiosity, and a demonstrated ability to translate complex datasets and market observations into robust, actionable investment insights. Responsibilities • Conduct independent quantitative research to identify, develop, and evaluate systematic global equity strategies and alpha signals., • Generate research hypotheses and apply rigorous empirical methods to determine whether observed relationships are robust, economically meaningful, and likely to generalize out of sample., • Analyze large and complex datasets—including market, fundamental, and alternative data—to uncover predictive relationships and investment opportunities., • Develop, test, and validate statistical and machine-learning models for return forecasting, signal construction, portfolio construction, and trading., • Own research projects through the full lifecycle, from hypothesis generation, data exploration, and feature engineering through backtesting, implementation, and ongoing performance evaluation., • Identify and evaluate new datasets and develop differentiated features and signals from market, fundamental, and alternative data., • Collaborate closely with quantitative researchers, developers, and technologists to translate successful research into scalable production strategies., • Evaluate and improve existing signals, models, and research frameworks, with particular attention to robustness, overfitting, transaction costs, market frictions, and out-of-sample performance., • Leverage modern research infrastructure—including AI-assisted tools, agentic workflows, and scalable CPU/GPU compute—where useful to accelerate data analysis, experimentation, model development, and implementation., • Communicate research findings, assumptions, risks, and investment implications clearly, and contribute to the broader research and investment process. Qualifications & Experience • Degree in Mathematics, Computer Science, Statistics, Physics, Engineering, Machine Learning, Computational Finance, or another highly quantitative field., • Typically 3+ years of relevant quantitative research experience in systematic investing, quantitative trading, or a closely related field., • Demonstrated experience developing successful systematic equity signals or strategies with holding horizons ranging from overnight to multi-day and longer-term., • Experience conducting quantitative research in global equities., • Demonstrated ability to independently generate, develop, evaluate, and iterate on quantitative investment ideas., • Strong programming skills in Python and familiarity with modern quantitative research and data-analysis tools., • Strong understanding of statistical modeling, cross-sectional and time-series analysis, machine learning, and linear and non-linear modeling techniques., • Experience working with large, noisy, and complex datasets and extracting robust, economically meaningful signals., • Strong understanding of research methodology, including backtesting, model validation, overfitting, transaction costs, and out-of-sample evaluation., • Ability to combine rigorous quantitative analysis with economic intuition and practical investment judgment., • Strong communication skills and the ability to collaborate effectively with researchers and technologists in a fast-paced research environment.