Trabajos physics en Newark, New JerseyCrear alertas

About Us \n Kernel Trading Technologies started as a trading group in a hedge fund and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story. \n The Role \n We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. In this role, you will work closely with our team of portfolio managers, quantitative developers and technologists to develop and improve upon our proprietary trading models and strategies. You will have the opportunity to apply your skills in data analysis, statistical modeling, and machine learning to real-world financial data, and contribute to the success of our trading operations. \n What you’ll do \n In this role, you will: \n\n • Develop, test, and implement quantitative models for our trading strategies, using advanced statistical techniques and machine learning models\n, • Analyze large datasets to identify trading opportunities and improve model performance\n, • Collaborate with quantitative developers to implement models and strategies in our trading system\n, • Conduct research to stay current on market conditions and industry trends\n, • Communicate complex quantitative concepts and their implications to non-technical team members\n\n \n What you’ll bring \n What you need: \n\n • Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering\n, • Strong programming skills, preferably in Python or C++\n, • Solid understanding of probability, statistics, and machine learning\n, • Understanding of data structures, algorithmic complexities, and numerical algorithms\n, • Ability to communicate effectively in a collaborative, complex and highly technical team environment\n, • Intellectual curiosity and passion for solving challenging problems using technology\n\n \n Job Type: Full-Time \n \n Pay: $90,000-$350,000 per year \n \n Benefits: \n\n • 401(k)\n, • 401(k) matching\n, • Dental insurance\n, • Flexible schedule\n, • Flexible spending account\n, • Health insurance\n, • Paid time off\n, • Parental leave\n, • Relocation assistance\n, • Retirement plan\n, • Vision insurance\n\n \n Compensation Package: \n\n • Bonus opportunities\n, • Signing bonus\n\n \n Schedule: \n\n • Monday to Friday\n, • Work Location: In person\n

Job Description Who we are The world is electrifying, and HVAC is at the center of it. Over the next decade, 100 to 200 million new heat pumps and HVAC units will become the backbone of a decarbonized world, but the industry has no way to keep them running well. The technician workforce has barely grown while the equipment base has multiplied, reactive repairs eat most of a tech's time, and half the installed base gets no real maintenance at all, wasting energy and driving billions in emergency costs. Thalo is fixing this. We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn static equipment into self-monitoring systems and shift service from guesswork to data. Every sensor we deploy makes the platform smarter and builds a dataset on how equipment truly performs that no one else can. We're a small team that has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, and led manufacturing design for Boom Supersonic jets. Now we're bringing that same rigor to one of the most important buildouts of our lifetime. In this role, the sensing systems you build, test, and deploy in the field are what make that platform real: every unit you get running reliably in a customer's building becomes another source of the data no one else has. It's a rare chance to work on a generational climate challenge, with first-of-its-kind hardware and a team of high performers who ship. About the role You'll assemble and test our electronics in our midtown Manhattan office, following documented build and QA procedures. This is a hands-on bench role and a great fit for students, recent grads, or experienced repair technicians who want real hardware experience at a climate tech startup. What you'll do • Assemble and test electronics systems: enclosures, wiring, connectors, soldering, • Flash firmware and run functional and connectivity tests using our test procedures, • Log test results and flag failures or recurring issues to the hardware team, • Label, package, and prep hardware for shipment, • Help improve our build and test checklists as you learn the processWhat you have, • Hands-on experience with electronics assembly, wiring, or bench testing, • Experience in electronics or device repair (phones, laptops, consoles), assembly, or bench testing is a strong plus, • Expert soldering skills, • Careful attention to detail and comfort following a checklist exactly, • Reliability: you show up when scheduled and communicate when you can't, • Experience with multimeters, test equipment, or firmware flashingBonus points, • HVAC, electrical, or building-systems coursework or trade experience, • Micro-soldering or board-level repair experience, • Experience in a production, manufacturing, or quality-control environment, • A knack for spotting ways to make a process faster or more reliable, • A passion for tackling climate change and sustainabilityDetails, • 20–30 hours/week through early December (we'll work with you on the right fit), with possible extension, • Schedule flexible around classes, • On-site in midtown Manhattan, • $25–30/hour, based on experience, plus monthly quality bonuses for high build yield, • Start: ASAP Based on experience, plus monthly quality bonuses for high build yield Commitment to Diversity, Equity, and Inclusion: Thalo Labs is committed to diversity and building an equitable and inclusive environment for people of all backgrounds and experiences. We think that a diverse team is critical to Thalo's success. We especially encourage members of traditionally underrepresented communities to apply, including women, people of color, LGBTQ+ people, veterans, and people with disabilities. 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.

A well-reputed crypto market maker and institutional liquidity provider are looking to hire a Junior–Mid level Sales Trader based in New York. This is a client-facing revenue generating role with primary responsibility for the distribution of crypto options, structured products, and other derivative investments. The role is critical to the continued growth of the firms leading options franchise and requires product expertise, strong commercial capabilities, and a collaborative approach. The successful hire will serve as Crypto Derivatives product expert with current and future clients and work closely with peripheral stakeholders to promote crypto derivatives products, trades, and market color while expanding the firms client base What we’re looking for: • A Bachelor or Masters degree in a quantitative field such as Maths, Physics, Computer Science or Economics, • A minimum of 1 years experience in a client-facing derivatives sales role, • Strong working knowledge of options and familiarity with structured products, • Knowledge of options pricing models, software, and risk systems This is a full-time, hybrid role based in New York City.

IP Litigation Associate - Tech Our client is a top Am law 100 firm, seeking an IP litigation associate within JD class years 2020-2023 for its New York office. The salary range for this position is between $260k to $390k. Qualifications • 3 to 6 years of patent litigation experience, including district court litigation and experience before the PTAB., • Background in electrical/computer engineering, mechanical engineering, physics or related discipline., • USPTO admission strongly preferred., • Excellent academic credentials and strong communication skills., • New York bar or ability to become admitted., • All candidates must be authorized to work in the U.S. About Us Marina Sirras & Associates LLC is a boutique legal recruiting firm committed to connecting exceptional legal talent with top-tier law firms and in-house legal departments nationwide. With decades of experience and a personalized, relationship-driven approach, we take pride in understanding the unique needs of both our clients and candidates. We are a proud member of the National Association of Legal Search Consultants (NALSC) and strictly adhere to the NALSC Code of Ethics. Marina Sirras, our founder, is a former President and Chairperson of the organization, reflecting our longstanding commitment to integrity and professionalism in legal recruiting. To learn more about our team and services, please visit us at _.

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.

About the Role We are looking for a Software Developer to join the Fixed Income Technology team, based in New York and supporting a global remit. The role involves building and maintaining systems across the full stack — from database development and data integration through to custom trading tools and reporting dashboards — with a focus on electronic repo operations. Key Responsibilities • Design, develop, and maintain an internal allocation rates engine, • Build and manage Triparty data ingestion, integration, and analysis tooling, • Develop custom screens, columns, and workflows within the Anvil (ION) repo platform, • Build and maintain reporting dashboards for traders and support teams, • MSSQL and Oracle database development feeding downstream systems and reporting, • Collaborate with NY and London Repo Trading Desks and Repo Support teams Required Skills & Experience • 2-3+ years of strong proficiency in Python for data processing, analysis, or application development, • Experience working with SQL (Oracle and/or MS SQL) for querying and data manipulation, • Solid understanding of relational database design and development, • Hands-on experience with ETL processes and data pipelines, • Familiarity with Unix/Linux environments for development and deployment Nice to Haves • Exposure to JavaScript, • Broader experience working across the data stack and integrating systems, • Java development experience, • Experience with the ION platform screens, workflows, custom development, • Repo / Fixed Income domain knowledge — Special/GC/CCP Bilateral/Triparty trade workflows, • Familiarity with data warehouse environments, • Knowledge of COCA / cost of carry calculations, • Exposure to electronic trading infrastructure Education Bachelor's degree in Computer Science, Engineering, Mathematics, Physics or a related quantitative field preferred. Primary Location Full Time Salary Range of $125,000 - $150,000. About Us Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law. The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

The Cross-Desk Efficiency Associate supports multiple desks by centralizing common desk processes, providing business and execution analytics, strengthening front-office controls, and identifying opportunities for automation and standardization. The role works closely with traders but does not have trading or market-risk-taking responsibilities. Trading desks retain ownership of pricing, hedging and risk decision Key Responsibilities • P&L quality control, • Reconcile desk’s flash P&L against the official P&L, • Run P&L explainers, • Sales credit and mark-up reconciliations, • Business analytics, • Analyze lost RFQs across key parameters (price, latency, skew, size, venue, competitive behavior) and analyze bad fills, flow quality, and adverse selection. Analyze execution performance and identify potential improvements to pricing controls, including spread, skew and size rules, for review and approval by the relevant trading desk., • Produce and maintain business reports covering volumes, P&L, hit/miss ratios, RFQs, client activity, and electronic vs. voice execution., • Market Data & Platform Controls, • Upload volatility calibration, • Totem submissions (Term SOFR and vol surfaces), • Maintain trader-approved market data, calibration inputs, hedging instruments (UST, futures, options on futures, etc.) and platform configurations across supported desks and systems, • CCPs fire drills, • Position & Trade Controls, • Identify and investigate front-office position and booking discrepancies, coordinating resolution with the relevant Trading, Middle Office and Back Office teams., • Validate front-office positions following portfolio compression and escalate discrepancies, • Efficiency, Automation & Desk Tools, • Identify and implement opportunities for process automation and AI-enabled workflow improvements across desks, • Model trades in pricing tools, • Provide cross-desk support for exceptional operational, control, and platform-related situations Requirements • Experience supporting front-office Markets desks, electronic markets businesses, or related control/analytics functions., • Proficiency in Python for business reporting, quantitative analysis, and process automation., • Solid understanding of financial products including U.S. Treasuries, futures, benchmark hedges, Term SOFR, and volatility surfaces., • Working knowledge of electronic pricing controls and execution analytics in electronic trading platform configuration, pricing parameters (spread, skew, size rules), and market execution analytics., • Strong background in desk P&L reconciliation, position management, P&L explainers, and cross-functional collaboration with Finance, Middle Office, and Back Office., • Familiarity with front-office trading platforms, volatility calibration tools, Totem, and portfolio compression workflows., • Technical background (majors in Math, Engineering, Physics, etc.), • 4 years of experience All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $100,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

Basic Qualifications • 8+ years of end-to-end product design experience., • A portfolio showing shipped consumer work on mobile apps or web (required)., • Comfort moving across prototyping, production, and interaction design without handoffs. Additional Qualifications • Passion for sports, betting, live events, or broadcast media., • Experience with AI-assisted design or prototyping workflows., • Contributions to a design system. Job Description The Mission CBS Sports is the digital stadium for millions of fans. We hold the rights to the biggest moments in sports—NFL, UEFA Champions League, March Madness, the Masters, and UFC. We aren't just a scoreboard; we’re a massive content engine of fantasy leagues, live video, and deep journalism. We’re looking for a Lead Product Designer to join a small, cross-functional squad that operates with the speed of a startup and the scale of a legacy giant. The Role: Build and Own You won’t just work on a product; you’ll own the design outcomes from first framing through ship. We believe in a builder culture where designers aren't waiting for handoffs or research gates. You will: • Own the Project: Take full responsibility for your product squad’s design outcomes. You lead the direction from initial concept to the final shipped experience., • Build Constantly: Prototype early and often. We use AI tools (like Cursor or Claude) to visualize ideas and test interactions before they hit engineering, letting us move faster than ever., • Lead with Visual Craft: We need designers who bring energy, taste, and dynamic design sensibilities. Whether it’s motion that obeys physics or layouts that capture the intensity of game day, your work should set the bar for the squad., • Shape the Product: You’ll trade honest, real-time feedback with engineers and PMs. We don't just "deliver" designs; we shape products in the build. Core Capabilities • Visual Design: You have a refined eye for type hierarchy, layouts, and intuitive UI/UX. You deliver high-impact, immersive designs for complex app systems that capture the intensity of game day and live sports., • Motion & Interactivity: You understand motion as a logical system. Your designs feel tactile, precise, and alive., • Fluency in Native Design: You have deep experience with mobile paradigms (iOS/Android). You know how to leverage native capabilities to elevate the user experience., • Owner Mindset: You treat research as a velocity tool, not a gate. You use your intuition, analytics, and direct fan feedback to make smart product decisions quickly.

About the Company We are HCLTech, one of the fastest-growing large tech companies in the world and home to 223,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. About the Role We are building a browser-based 3D virtual science lab. Students assemble apparatus, perform experiments, and are assessed on their technique — all rendered in real time with React 19, React Three Fiber (Three.js), and Zustand, built with Vite. The simulation runs on ordinary school hardware, including low-end Chromebooks, so it has to be both convincing and fast, and its behavior has to be deterministic enough to score reliably. What you'll do • Build and own complex React Three Fiber features: interactive 3D equipment, a selection-driven action system, real-time visual effects, and the UI around them., • Keep the app fast on low-end hardware — profile and tune the render loop, manage GPU/CPU cost, and hold a frame budget on Chromebook-class devices., • Keep application state coherent as it grows (simulation state, equipment state, an event log used for assessment, and UI state) using Zustand., • Make accessibility real: full keyboard operation, focus management, ARIA, and screen-reader support are core requirements here, not polish., • Direct Claude Code effectively — decompose work into well-specified, agent-sized tasks, review the output with a senior eye, and know when to write something by hand instead., • Help maintain the conventions, CLAUDE.md guidance, and repo structure that keep AI-generated code consistent and safe., • Collaborate with our 3D technical artist to integrate assets and shaders cleanly. Front-end engineering (the foundation — non-negotiable): • Deep, senior-level React (React 19 / modern React): the render model, hooks discipline, memoization, effect timing, and a real feel for where re-renders and stale closures come from — which matter acutely in an app running a physics loop every frame., • Three.js and React Three Fiber in production. Real command of the scene graph, geometry and materials, the useFrame render loop, and disposal / memory management (WebGL leaks are a real hazard). This is the heart of the role and the skill we weight most heavily — React experience without R3F is not a substitute., • Real-time performance discipline. You think in frame budgets, know what drives GPU vs CPU cost, can profile a render loop, and habitually design for the weakest target device., • State management at scale with Zustand (or clearly transferable experience), keeping a growing state model coherent rather than tangled., • Accessibility as a first-class skill — keyboard navigation, focus management, ARIA, WCAG AA, screen-reader testing. For an education product this is a core requirement and a procurement gate, not an afterthought., • TypeScript, testing, and modern tooling — TypeScript fluency, Vite, a real testing discipline (we favor testing real behavior over mocks), and the judgment to set the quality bar for others. Working effectively with AI coding agents (the differentiator — evaluated seriously): • You can decompose work into agent-sized units — scoping a task with enough context, clear boundaries, and defined done-conditions so an agent produces good work. You write specifications, not wishes., • You review AI output critically — reading every diff with the skepticism you'd bring to a junior's PR, catching the plausible-but-wrong, the convention drift, and the code that passes tests but violates an architectural rule. You never ship output you don't fully understand., • You know when not to use the agent — a feel for which tasks fit an agent well and which are faster or safer done by hand., • You are comfortable with the operating environment around the agent: context management, CLAUDE.md / skills / MCP, and structuring a repo and its conventions so agents produce consistent results. (Multi-worktree / parallel-agent experience is a strong plus.), • You have honest calibration about the tool — neither refusing it nor over-trusting it, with real intuition, from experience, about where it's strong and where it approximates or fabricates. Strongly preferred: • WebGL / GLSL literacy — enough to collaborate with a technical artist and debug shader and asset integration., • glTF / GLB loading and the asset pipeline., • Prior educational, assessment, scientific, or simulation software experience. Equal Opportunity Statement HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. Compensation and Benefits A candidate s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You ll Grow • At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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

Quantitative Developer Delmar Nord has partnered with a leading multi-strategy hedge fund to identify a Quantitative Developer to join their technology team. This is an opportunity to work alongside portfolio managers, researchers, and engineers building the infrastructure and tools that power systematic and discretionary trading strategies across multiple asset classes. About the Opportunity Our client is a prominent hedge fund known for its rigorous, data-driven approach to investing and its investment in top engineering talent. The firm is looking to add a Quantitative Developer who can bridge the gap between research and production, helping translate quantitative models into robust, scalable systems. Responsibilities The Quantitative Developer will design, build, and maintain high-performance systems used for research, trading, and risk analysis. This includes developing and optimizing pricing, signal generation, and execution infrastructure; collaborating closely with quantitative researchers and portfolio managers to implement and productionize models; building tools and libraries to support backtesting, data analysis, and strategy development; working with large, complex datasets to ensure data integrity, performance, and scalability; and contributing to the design of core platform architecture used across trading teams. Qualifications Candidates should have a bachelor's, master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field, along with strong software engineering fundamentals and fluency in C++ and/or Python. Experience in a low-latency, high-performance computing environment is valued, as is a solid grounding in data structures, algorithms, and object-oriented design. Prior experience at a hedge fund, prop trading firm, or other quantitative finance environment is a plus, though strong candidates from adjacent high-performance industries (e.g., tech, HFT-adjacent engineering) will also be considered. Strong communication skills and the ability to work closely with both researchers and engineers round out the ideal profile. What's Offered This role offers highly competitive compensation, including base salary and performance-based bonus, along with the chance to work at the intersection of cutting-edge technology and financial markets, exposure to sophisticated quantitative strategies, and a collaborative, high-caliber team environment.

Python Backend Developer - Location: NY, New York (Grand Central area), onsite Hybrid 3 days a week - Direct Fulltime - Salary with Benefits $147K-$170K target + BONUS This position does not offer sponsorship for employment-based visas, including but not limited to OPT, CPT, H-1B, or similar statuses. Corp-to-Corp candidates will NOT BE considered CBTS is seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks to join our New York City team. You will build scalable, secure and high-performance APIs and services that power data-driven solutions. The role supports mission-critical systems that use artificial intelligence, electronic health records and other complex, sensitive medical data to make it easier for people to obtain essential life insurance coverage. This position sits within a small, high-impact team building an advanced solution for medical risk assessment. It offers substantial opportunity to shape a new solution, ship product quickly and see immediate impact. Key Responsibilities: • Help shape API architecture for real-time decisioning using complex medical data., • Collaborate with data scientists, underwriters, customer success partners and product managers to develop and deliver the product roadmap., • Optimize backend performance and scalability for large volumes of structured and unstructured health data., • Adapt the product as the use of machine learning models and large language models evolves., • Build maintainable software, write unit and integration tests, and implement automated testing., • Participate in code reviews and contribute to the continuous improvement of development practices. Qualifications: • Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics or a related discipline., • Professional experience developing backend software with Python., • Strong understanding of software development lifecycle best practices., • Experience with API design tools and frameworks such as Swagger, OpenAPI and FastAPI., • Experience with cloud computing and K8s or similar orchestration tools., • Experience with containerization tools such as Docker., • Experience with relational databases such as PostgreSQL or MySQL and ORM libraries such as SQLAlchemy., • Experience with load testing, latency profiling and backend performance optimization., • Experience with infrastructure-as-code tools such as Terraform., • Experience working with new and complex data sources., • Interest in applying emerging technologies, including large language models, in production environments., • Ability to collaborate effectively across engineering, data science, underwriting, product and customer success teams. CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.

As a Strategy Developer on the quantitative trading team, you will design, implement, and optimize algorithmic trading strategies across Futures. Working at the intersection of financial theory, mathematical modeling, and software engineering, you'll transform market insights and research hypotheses into profitable trading systems. This role requires a rare combination of quantitative skills, programming expertise, and market intuition. Requirements • Advanced degree in Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field, • 3+ years of experience developing quantitative trading strategies at a prop trading firm, hedge fund, or similar institution, • Strong programming skills in Python, C++, or similar languages used for strategy development, • Deep understanding of statistical methods, time series analysis, and mathematical modeling, • Experience with market microstructure and order book dynamics What Sets You Apart • Experience trading across multiple asset classes, particularly in digital assets/crypto, • Knowledge of machine learning techniques and their application to trading, • Familiarity with high-frequency and market-making strategies, • Experience with advanced optimization techniques for execution algorithms, • Understanding of risk management frameworks for trading strategies The Team They are a small group of elite quantitative developers who have a proven track record of exceeding the bar. They are driven by solving the seemingly unsolvable and aren't afraid to challenge conventional thinking in strategy development. Members of our team get exposure to senior decision-makers, mentorship from industry-leading quants, and the opportunity to directly impact the firm's bottom line through their innovative trading ideas. If you are interested or open to learning more, please apply directly or reach out for a confidential conversation.

A leading global multi-strategy hedge fund is seeking a Systematic Macro Quantitative Researcher to join a collaborative investment team based in Houston or New York. This is a front-office role focused on the research, development and implementation of systematic macro strategies, with a particular emphasis on commodities and opportunities across global markets. This position offers direct exposure to a Senior Portfolio Manager and the opportunity to contribute across the full research lifecycle, from idea generation and alpha research through to production implementation. The successful candidate will apply rigorous statistical and quantitative methods to develop predictive signals, enhance research infrastructure and refine systematic investment strategies, operating within an entrepreneurial environment where independent thinking and intellectual curiosity are highly valued. Key Responsibilities • Work closely with the Senior Portfolio Manager to develop and enhance systematic macro investment strategies, with a primary focus on commodities., • Research and generate new alpha ideas across global macro markets., • Analyse diverse datasets to identify predictive relationships and investable opportunities., • Contribute to the full research process, including data preparation, statistical analysis, signal development, backtesting and implementation., • Apply advanced statistical techniques and machine learning to develop and evaluate predictive signals., • Design and build robust quantitative systems to support systematic trading strategies., • Translate research findings into reliable production implementations in collaboration with the Senior Portfolio Manager., • Develop and improve data pipelines, statistical learning tools, alpha analytics and backtesting infrastructure., • Independently evaluate new research ideas and communicate findings clearly to the investment team., • Collaborate with colleagues to improve research methodologies and the overall systematic investment process. Requirements • Preferably 3 or more years of quantitative research experience focused on systematic macro strategies, including alpha research across commodities, FX or rates., • Strong research and programming skills, with proficiency in Python., • Strong understanding of statistical analysis, quantitative modelling and systematic strategy development., • Experience across electricity, natural gas, crude oil, oil products or agricultural commodities is highly advantageous., • Experience researching intraday macro strategies is beneficial., • Knowledge of transaction cost modelling is advantageous., • Experience building production quantitative systems within a hedge fund, proprietary trading firm or systematic investment environment is preferred., • Excellent analytical and problem-solving skills, with intellectual curiosity and a proactive approach to alpha research., • Ability to think independently, approach data analysis creatively and communicate complex ideas clearly., • Ability to contribute effectively within a collaborative, fast-paced investment team., • Bachelor's, Master's or PhD in Mathematics, Statistics, Computer Science, Economics, Physics or a related quantitative discipline is preferred. For more information contact: Elaine Bunyan - elaine@pointonetalent.com Graham Murphy – graham@pointonetalent.com

Job Title: Machine Learning Engineer Location: NYC Firm Overview: Cantor Fitzgerald L.P., with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor Fitzgerald & Co. is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. For 79 years, Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed. ML Engineer We're looking for an early-career engineer to help build, evaluate, and improve AI-powered applications for a large-scale financial services business. It's best suited to someone with strong software fundamentals, hands-on experience with modern AI tools, and curiosity about how language-model systems behave in real products. Required Qualifications • Bachelor's degree in a technical field (computer science, machine learning, mathematics, physics, statistics, econometrics) or equivalent practical experience., • Experience contributing to production or production-like software, whether through work, internships, research, open source, or substantial personal projects., • Strong programming ability in at least one language, preferably Python, with clear, tested, maintainable code., • Experience working with web services, data integrations, testing, logging, and basic monitoring, across both structured and unstructured data., • Hands-on experience building with large language model (LLM) tools or frameworks — some mix of prompting, structured outputs, tool-calling, retrieval, or multi-step workflows — and awareness of common failure modes like hallucination, poor grounding, prompt sensitivity, cost, and latency., • Exposure to testing or evaluating LLM-powered applications: building test sets, reviewing failures, defining success metrics, and improving prompts or retrieval based on what you observe., • Practical grounding in machine learning, statistics, and experimental design, with the ability to reason about model behavior and learn from technical papers and documentation., • Strong communication skills, comfort working with product, engineering, and business partners, and interest in applying AI responsibly in financial services (privacy, security, human review, appropriate use of automation). Nice to Have • Familiarity with common agentic workflows and orchestration frameworks and with standards for connecting models to tools and data., • Familiarity with common evaluation and observability tools., • Exposure to human-in-the-loop workflows, guardrails, or responsible-AI practices for higher-stakes applications., • Familiarity with cloud deployment, containers, and modern release pipelines., • Awareness of fine-tuning methods and when they're worth using. Educational Qualifications: • Bachelor’s Degree required Salary: $140,000 - $160,000 The actual base salary will be determined on an individualized basis considering a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package (including health, vision, and dental insurance, paid time off and a 401(k) retirement), this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.). We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

Company Description Polytope Research is a trading and software firm that leverages quantitative methodologies and cutting-edge technology to access and optimize performance in global financial markets. With a commitment to innovation and efficiency, the firm integrates data-driven strategies with advanced tools to deliver superior trading solutions. Known for its collaborative environment and focus on research excellence, Polytope Research fosters a culture of intellectual rigor and continuous growth. Join us to contribute to impactful projects in a fast-paced and dynamic industry. Role Description This is a full-time, on-site role for a Production Trader located in Jersey City, NJ. You will supervise the automated trading systems and respond to market and system events in real time. The role includes analyzing market conditions, collaborating with the Portfolio Manager to enhance trading performance, and maintaining a thorough understanding of trading platforms and tools. You will also play an integral role in maintaining operational risk standards and compliance. We're looking for someone bright, curious, and hungry. A strong technical foundation matters, but so does the drive to learn the business from the ground up. This seat is designed as an entry point: candidates who demonstrate strong judgment and technical aptitude will have a clear path to grow into more senior trading, research, or strategy development roles. Responsibilities • Working closely with the trading team to operate and implement trading strategies, • Launching, supervising, and shutting down Polytope's trading activities on global markets, • Triaging real-time alerts and coordinating with the trading and engineering teams to resolve production issues, • Coordinating with risk, operations, and compliance to assess live trading and respond to unusual market behavior, • Flagging real-time alerts and working with the trading to team to resolve issues in real time, • Documenting, monitoring procedures, and logging production issues as they occur Requirements • Bachelor's degree or higher in a quantitative field (computer science, mathematics, physics, engineering, or similar), • Working knowledge of one or more of the following asset classes: digital assets, equities, futures, options, FX, • Experience with trading systems, execution workflows, and risk monitoring, • Familiarity with high-frequency trading concepts and the operational demands of low-latency systems, • Strong problem-solving skills with the ability to act decisively under pressure, • Clear written and verbal communication, with a collaborative approach to working alongside trading and technology teams, • High attention to detail and a commitment to accuracy, • Able to work on flexible hours and provide weekend and public holiday coverage on a rotation basis, • Familiarity with UNIX, python, and SQL (C++ is a plus, but not required), • Prior experience in algorithmic trading or execution trading is a plus Compensation and Benefits • Competitive base salary, calibrated to experience, • Discretionary annual bonus tied to firm and individual performance, • Health, dental, and vision insurance, • Retirement plan with employer contribution

Sales Engineer New York City | BlueChips BlueChips is hiring an elite early-career Sales Engineer to work directly with VP of sales and COO on the execution of GTM plan. This is not a conventional solutions-engineering role. We are looking for someone who can understand difficult technical systems quickly, explain them with exceptional clarity, and turn technical credibility into commercial momentum. The ideal candidate is 1–3 years out of a top engineering, mathematics, physics, or computer science program and has already demonstrated that they can sell. Experience at a company such as Palantir, Ansys, Anduril, Scale AI, SpaceX, Databricks, or a technically demanding industrial software company is especially relevant. You should be equally comfortable at a whiteboard with an engineer and across a table from an executive buyer. What you’ll do • Manage the technical side of $1M–$5M enterprise deals from first meeting through close, working directly with senior engineering and executive buyers, • Operate with meaningful exposure to senior leadership, including the VP of Sales, Principal Scientists, and COO himself, • Run demos, technical evaluations, pilots, and customer workshops, • Translate CFD, simulation, meshing, numerical methods, and physical AI into clear business value, • Work directly with engineering organizations in aerospace, defense, energy, and advanced manufacturing, • Identify what is actually preventing a customer from buying and remove it, • Help shape product direction from what you learn in the field, • Eventually recruit and help build the sales engineering organization around you What we care about You are technically formidable but do not hide behind technical language. You communicate with precision, confidence, and economy. You can explain highly technical concepts to non-technical people You enjoy selling. You like asking for the meeting, pushing a process forward, handling objections, and closing. You can walk into a room of senior engineers, establish credibility quickly, and still explain the same technology to a CFO ten minutes later. You are competitive, highly organized, socially perceptive, and comfortable operating without a script. Pedigree can get our attention. Performance matters much more. Strong signals • Engineering, applied mathematics, physics, CS, or a closely related quantitative degree, • MIT, Stanford, Caltech, Princeton, Georgia Tech, Carnegie Mellon, or similarly rigorous technical training, • 1–3 years in technical sales, forward-deployed engineering, solutions engineering, or enterprise software, • Evidence of exceptional performance rather than simply participation, • Experience selling into aerospace, defense, energy, automotive, simulation, CAE, or industrial engineering, • A record of taking complicated products and making customers want them This role has significant exposure to the founder and to major customers. For the right person, it is a fast path toward owning a substantial part of the commercial organization. Location: New York City Role: Full-time, in person Nationality: US citizenship is required along with native command of the English language. Presentation should be professional and friendly, with a polished all-American look. Compensation: Highly competitive base + uncapped performance compensation (cash+equity) If you are technically serious and think of sales as a competitive sport, we want to hear from you.

FX Quant Trader Location: New York City, NY Type: Full-Time Industry: Proprietary Trading / Quantitative Finance About the Role: We are seeking a highly quantitative and entrepreneurial FX Quant Trader to join a leading proprietary trading firm in New York City. This individual will be responsible for developing, implementing, and managing systematic and semi-systematic trading strategies across global foreign exchange markets. The role combines quantitative research, strategy development, execution optimization, and risk management within a fast-paced, technology-driven trading environment. The ideal candidate has a strong background in FX markets, statistical modeling, and algorithmic trading, with a proven ability to identify and capitalize on market inefficiencies. This is an opportunity to work alongside experienced traders, researchers, and technologists while having direct impact on P&L generation. Responsibilities • Research, develop, and deploy quantitative trading strategies across G10 and Emerging Market FX products., • Analyze large datasets to identify predictive signals, market anomalies, and alpha opportunities., • Design and enhance systematic execution models to improve trading performance and reduce transaction costs., • Monitor, manage, and optimize live trading strategies with direct responsibility for risk and profitability., • Collaborate with quantitative researchers and software engineers to build scalable trading infrastructure., • Conduct statistical analysis, backtesting, and performance attribution of trading models., • Leverage alternative data, macroeconomic indicators, and market microstructure insights to drive trading decisions., • Continuously evaluate market conditions and adapt strategies to evolving liquidity and volatility regimes., • Develop tools for portfolio construction, risk management, and signal generation., • Present research findings, strategy recommendations, and performance updates to senior leadership. Qualifications • Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline., • 3+ years of experience trading or researching systematic FX strategies within a proprietary trading firm, hedge fund, bank, or electronic market maker., • Strong understanding of FX market structure, liquidity dynamics, and macroeconomic drivers., • Demonstrated track record of developing profitable quantitative trading strategies., • Advanced programming skills in Python; experience with C++, Java, or Rust is a plus., • Expertise in statistical modeling, machine learning, time series analysis, and optimization techniques., • Experience working with large financial datasets and high-performance research environments., • Strong knowledge of risk management frameworks and portfolio construction methodologies., • Excellent analytical, problem-solving, and communication skills.

Seeking an experienced MRI Technologist to perform high-quality magnetic resonance imaging procedures using specialized MRI equipment. The technologist will ensure patient safety, proper positioning, image quality, accurate documentation, and compliance with established protocols and MRI safety standards. Key Responsibilities: • Perform MRI imaging procedures according to established protocols and patient needs., • Position patients and MRI coils appropriately to obtain diagnostic-quality images., • Educate patients regarding MRI procedures, preparation, and safety requirements., • Review MRI safety questionnaires before allowing patients into the scan room., • Evaluate images for technical quality and ensure timely transmission to PACS., • Complete and update exams, scheduling, and patient tracking information in the radiology information system., • Maintain cleanliness and readiness of MRI rooms, equipment, supplies, and accessories., • Follow strict MRI safety procedures, including prevention of ferromagnetic materials entering the scan room., • Follow infection control policies and maintain a safe environment for patients and staff., • Assist physicians as needed and perform related clerical duties when required., • Report equipment issues, repairs, and unsafe conditions to appropriate personnel., • Maintain required licensure and certifications in good standing., • Participate in required in-services and professional development activities., • Perform other related duties as assigned. Qualifications: • Graduate of a JRCERT-approved School of Radiologic Technology., • Strong knowledge of cross-sectional anatomy, physiology, physical sciences, and MRI physics., • Excellent technical and patient-care skills., • 2 years of MRI experience preferred., • New York State License as a Licensed Radiologic Technologist (LRT)., • New York State Diagnostic Radiology License., • ARRT Certified with ARRT MRI registry., • BLS/BCLS certification required. Important Details: • 8-week contract position (extensions possible), • Shift is 10 hrs/day (Wednesday–Friday, 9:30 AM–8:00 PM; Saturday, 7:30 AM–4:00 PM), 37.5 hrs/week, • Location is New York, NY 10029, • Local Pay Range: $72 - $76 per hour, • Pay Range for travelers: $3,400 - $3,450 per week Call to Action: • Spots Are Filling Quickly — Apply Now! Company Description: “Pride Health offers eligible employees 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, origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, sex, gender, gender identity, gender expression, sexual orientation, 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. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Role: Backend Python Developer Location: New York City, NY (Hybrid, 3 days) Duration: Full-Time Employee, this role does not allow visa sponsorship. Salary: $140-180K/year Job summary We are seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks. You will build scalable, secure and high-performance APIs and services that power data-driven solutions. The role supports mission-critical systems that use artificial intelligence, electronic health records and other complex, sensitive medical data to make it easier for people to obtain essential life insurance coverage. Required skills: • Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics or a related discipline., • Professional experience developing backend software with Python., • Experience with API design tools and frameworks such as Swagger, OpenAPI and FastAPI., • Other tech skills: Cloud computing and K8s or similar orchestration tools; Docker; relational databases such as PostgreSQL or MySQL and ORM libraries such as SQLAlchemy; and load testing, latency profiling and backend performance optimization. Please send resume ASAP.

Quantitative Researchers generate the statistical insights that drive the profitability of our trading strategies. They employ a flexible and ever-expanding toolset to distill robust relationships and incorporate these insights into both existing and novel strategies. The ideal candidate is highly analytical, innovative, and thrives both in open-ended exploration and with specific, time-sensitive projects. Major responsibilities include the analysis of complex data sets to uncover market signals; the development, testing, and implementation of models relating to pricing and return prediction; and research into statistical methodologies to enhance strategy performance and manage risk. Job requirements: • Bachelor's, Master's, or PhD degree in Statistics, Physics, Mathematics, or other quantitative field, • Fluency in Python for data analysis, • Knowledge of statistical and machine-learning methods, • Strong applied research and analysis skills

Job Description We are looking for a Senior Trader to join the Financial Resources Management (FRM) desk within Global Markets, with primary responsibility for Collateral Management and Optimization and additional responsibilities across Initial Margin, Balance Sheet (B/S), Capital and Liquidity optimization. The role combines trading expertise, quantitative capabilities and a strong understanding of financial resources to optimize the use of collateral, B/S and capital across Global Markets. Key Responsibilities • Collateral Management & Optimization: Manage the daily collateral inventory and optimization framework, including repo activity and the efficient allocation of collateral across Global Markets., • Initial Margin Optimization: Develop and manage IM optimization solutions for cleared derivatives, identifying and executing portfolio optimization opportunities in the interdealer market., • Capital, Liquidity & B/S: Apply internal capital, liquidity and B/S methodologies to pricing, funding, hedging and trading decisions, including RWA, LCR, NSFR, ColVA, repo netting and balance-sheet allocation., • Methodology & Implementation: Develop and enhance financial-resource optimization methodologies and support their implementation across Global Markets Candidate Requirements • Academic background: Degree in a quantitative or technical discipline: Mathematics, Engineering, Physics or a related field., • Trading experience: Relevant experience in Global Markets, in trading roles related to collateral, repo, funding / liquidity or FRM., • Collateral & Repo: Strong knowledge of collateral management, optimization and repo markets, including the interaction between collateral allocation, funding and balance-sheet usage., • Capital, Liquidity & B/S: Solid understanding of RWA, capital pricing, LCR, NSFR, liquidity gaps, ColVA and balance-sheet optimization, and their impact on transaction and portfolio economics., • Regulation: understanding and implementation of financial regulation, specifically CRR and EMIR, • Trading Systems: Knowledge of trading tools, particularly Murex, Calypso and STAR, • Initial Margin: Strong understanding of interest-rate derivatives, central clearing and Initial Margin, together with the technical capability to develop and implement IM optimization solutions., • Quantitative & Technical Skills: Strong analytical capabilities and experience developing tools, models or data-driven optimization solutions., • Programming skills and experience working with complex financial datasets are highly valued., • Senior Profile: Ability to independently make and support trading and optimization decisions, lead initiatives and interact effectively with a variety of internal teams and desks., • 3-4 years of experience, • SIE, Series 7 or the ability to obtain within six months All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $120,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

Global Asset Manager is in search of a Quantitative Investment Analyst supporting its multi-asset portfolio solutions platform. In this role, you will develop and implement advanced portfolio optimization frameworks to enhance private market portfolios, considering complexities such as illiquidity, capital calls, distributions, and sector/geographic constraints. Your work will include building and refining quantitative models for expected returns, risk, cash flow forecasting, and correlations, enabling smarter decision-making. You will leverage data from leading providers and internal sources to conduct insightful research, contribute to risk measurement innovations, and support the creation of thought leadership on private portfolio construction and risk management. Responsibilities • Design and implement portfolio optimization tools across multiple asset classes., • Develop models that incorporate illiquidity, capital flow timing, and leverage., • Build simulation engines (Monte Carlo, scenario analysis) to evaluate portfolio outcomes., • Work closely with portfolio managers, analysts, and risk teams to deliver actionable insights., • Contribute to whitepapers on private market risk, construction, and design. Qualifications • Must-Have Skills & Qualifications, • Bachelor’s or Master’s degree in Mathematics, Statistics, Physics, Computer Science, or a similarly quantitative field., • 4+ years of experience in private markets investment, pension funds, sovereign funds, or asset management, • Strong understanding of private market cash flow dynamics—capital calls, distributions, NAV., • Proficiency in SQL and Python, with experience in portfolio optimization software (e.g., Gurobi, Mosek)., • Familiarity with factor models and risk management tools (Bloomberg, Barra, Axioma)., • Experience working with large datasets and data visualization tools (Tableau, R, Python).

Private Markets Quant Analyst will design and maintain customized investment strategies across the firm’s global alternatives platform, including real estate, infrastructure, renewable power, private equity, and credit. The team partners closely with institutional and wealth clients to develop tailored portfolio solutions that align with specific objectives such as income generation, inflation protection, and long-term capital appreciation. Experience with product development, portfolio construction, investment selection and capital formation, structuring bespoke mandates, commingled vehicles, and strategic partnerships is sought Responsibilities: • Design and implement portfolio optimization frameworks for private market portfolios across multiple asset classes., • Develop optimization models that incorporate illiquidity, capital calls, distributions, pacing, vintage diversification, sector/geographic constraints, and leverage., • Develop quantitative models for expected returns, risk, cash flow forecasting, and correlations across private market investments., • Build simulation engines using Monte Carlo and scenario analysis to evaluate portfolio outcomes under different economic environments., • Work with private market data providers (Cambridge, MSCI/Burgiss/Preqin), • Contribute to the build out of private market risk measurements (factor models, de-smoothing volatility, manager/investment level dispersion, stress testing), • Work closely with Portfolio Managers, fundamental investment analysts, and risk management, • Thought leadership pieces and whitepapers on private portfolio construction, design, and risk assessment The Candidate: The successful candidate will possess the following: • Bachelors or Masters degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field, • 4+ experience within a leading private markets investment manager, pension fund, sovereign wealth fund, endowment, OCIO, or asset manager., • Strong understanding of private market cash flow dynamics including capital calls, distributions, NAV evolution, commitment pacing, liquidity forecasting, • Strong programming skills within SQL, Python and experience with portfolio optimization software preferred, • Experience working with factor models used in portfolio construction and risk management (Bloomberg, Barra, Axioma, etc..), • Knowledge of portfolio optimization techniques used to target different outcomes (yield, volatility, MOIC maximation, downside protection) with complex constraints., • Effective communicator, both oral and written, with ability to present with clarity, precision and conviction, • Experience working with large datasets and data visualization tools (Tableau, Python, R)

About BBVA BBVA is a global financial institution with more than 160 years of history and operations in over 25 countries, serving more than 80 million customers worldwide. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. About Global Markets BBVA Global Markets partners with corporations, financial institutions, governments, and institutional investors to provide market access, financing, risk management, and investment solutions across global financial markets. Our teams work across Sales, Trading, Structuring, Capital Markets, and Strategy, combining market expertise with a client-focused approach to deliver innovative financial solutions across multiple asset classes. About the Program The BBVA Global Markets Summer Analyst Program is a 10-week internship designed for highly motivated undergraduate students interested in pursuing a career in Global Markets. Throughout the program, Summer Analysts will work alongside experienced professionals, contribute to meaningful business initiatives, and develop a practical understanding of financial markets, client solutions, and risk management. Participants will receive mentorship, networking opportunities, and broad exposure to Global Markets businesses throughout the internship. What You'll Do • Support day-to-day activities across one or more Global Markets business areas, including Sales, Trading, Structuring, Capital Markets, and Strategy., • Conduct market, economic, and industry research to support business initiatives., • Analyze financial markets, client portfolios, and investment opportunities., • Assist with financial analysis, quantitative modeling, and presentation materials., • Support the development of client solutions and strategic projects., • Collaborate with professionals across Global Markets and other Corporate & Investment Banking teams., • Participate in professional development activities and networking opportunities throughout the internship. Required Qualifications Education • Currently pursuing a Bachelor's degree and expected to graduate between December 2027 and June 2028., • Demonstrated academic achievement., • Students pursuing degrees in Finance, Economics, Business, Mathematics, Engineering, Computer Science, Statistics, Physics, Data Science, or related disciplines are encouraged to apply. Candidates from other majors with a demonstrated interest in financial markets are also welcome. Technical Skills • Strong analytical and problem-solving skills., • Proficiency in Microsoft Excel and PowerPoint., • Exposure to financial markets, financial modeling, programming languages (e.g., Python), or financial platforms (e.g., Bloomberg) is beneficial but not required. Preferred Competencies • Excellent written and verbal communication skills., • Intellectual curiosity and a willingness to learn., • Strong attention to detail and organizational skills., • Ability to work collaboratively in a team-oriented, fast-paced environment., • Proactive mindset with the ability to manage multiple priorities., • High level of integrity, professionalism, and accountability. Application Process Selected candidates will participate in a structured interview process designed to evaluate analytical thinking, communication skills, problem-solving ability, learning agility, and motivation to pursue a career in Global Markets. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected hourly rate is $35/hour. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Senior C++ Engineer | High-Performance Systems Compensation: Up to $1.5M Total Compensation | Base Salary Up to $350,000 A leading quantitative trading firm is seeking a Senior C++ Engineer to join a team building some of the most performance-sensitive systems in the world. This is an opportunity for exceptional engineers from highly selective technology environments to apply their expertise to a domain where software performance directly impacts business outcomes. You'll work on complex distributed systems, low-latency infrastructure and performance-critical applications where optimisation, scalability and engineering precision are paramount. Requirements: • Strong modern C++ experience, • Experience building large-scale, distributed or performance-critical systems, • Strong understanding of algorithms, data structures and software design, • Experience operating within high-performance engineering environments, • Passion for solving complex technical problems What Sets Successful Candidates Apart: • Outstanding academic record in Computer Science, Mathematics, Physics, Engineering or a related discipline, • Experience within highly selective engineering or technology organisations, • Demonstrated progression, increasing responsibility and sustained impact throughout your career, • Evidence of exceptional achievement academically, professionally or technically, • Contributions to open-source projects, published research, competitive programming or other technically demanding pursuits The Opportunity: The team hires selectively and maintains an exceptionally high technical bar. They are particularly interested in engineers who have consistently distinguished themselves throughout their academic and professional careers. Successful candidates typically combine deep technical expertise, strong intellectual curiosity and a track record of excellence within demanding environments. This is an opportunity to work alongside highly accomplished engineers on some of the most technically challenging problems in the industry, where performance, precision and engineering quality are fundamental to success.

Cantor Fitzgerald, with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed. Role Overview We are seeking a Market Risk Manager to enhance our existing risk management framework and process. This role sits at the intersection of quantitative finance and applied artificial intelligence, requiring expertise in both domains. You will partner closely with trading desks, technology, and senior leadership to embed AI-driven insights directly into our risk management structure. Key Responsibilities Risk Monitoring & Reporting • Work as part of the market risk team to produce daily, weekly, and monthly risk reporting across equities, rates, structured fixed income, credit, FX, and commodities, incorporating AI to enhance their content and production., • Develop and enhance risk measures such as VaR, Stress Loss, and Expected Shortfall across the firm’s trading activities., • Define, implement, and monitor flags and limits and escalate as appropriate., • Present risk insights to trading management with clarity, leveraging AI-assisted visualization and commentary tools. Risk Framework & AI Integration • Work to embed AI and machine learning models in the firm’s risk process to enhance stress testing, VaR, and other risk measurement methodologies., • Lead the transition from legacy rule-based risk monitoring to adaptive, AI-powered surveillance systems capable of handling non-linear exposures, risks arising from complex structured products, and tail risks. Required Qualifications • 2 years in market risk management at a bank, asset manager, or hedge fund, • CFA, FRM, or PRM designation preferred, • Bachelor’s degree in Finance, Mathematics, Statistics, Physics, or Engineering, • Advanced degree in a quantitative discipline, • Deep expertise in risk metrics: VaR, Expected Shortfall, Greeks, scenario/stress analysis, Monte Carlo simulation methodologies, • Experience with LLMs or NLP applied to financial data, • Hands-on experience and expertise in Microsoft Excel, SQL, Bloomberg analytics and API, • Coding experience in VBA, R, and Python; experience with MSCI RiskMetrics We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

Description Empowerment Academy Charter School is hiring a High School Physics Teacher at Empowerment’s High School. This is for the current 2026/2027 School Year and beyond. We are currently implementing a Critical Need Bonus for certified Science Teachers who successfully join our team of $7,500! PLEASE ONLY APPLY IF CERTIFIED BY THE NJ DOE OR YOUR CERTIFICATION IS PENDING. Base Salary: $70,500-$90,500 Competitive Raises Year to Year and Critical Need Bonus! OUR SCHOOL Empowerment Academy is a dynamic and successful charter school that truly supports its teachers and staff. Empowerment has 4 of its own campuses, and BelovED is our “sister school.” We serve a mix of students that are among the most diverse in America while enjoying the cultural vibrance of Jersey City, Hoboken and New York City. Our staff is a dedicated group of individuals passionate about closing the achievement gap and providing a quality educational program. WE VALUE OUR FACULTY At Empowerment Academy, we emphasize teamwork and community and truly value our faculty: • Evidencing this, compared to those with similar experience, OUR FACULTY MEMBERS ARE AMONG THE HIGHEST PAID IN NEW JERSEY;, • Moreover, we seek to achieve academic success without burning out teachers by meshing an effective education program with effective teacher supports and professional development. TEACHER SUPPORTS Teachers at Empowerment Academy are part of a school-wide team. They receive career-long coaching and professional development support from school leaders; work with their peers in professional learning communities (PLCs) to plan lessons and solve problems; and partner with an array of specialists to meet scholars’ diverse needs. Examples of such teacher supports include: • Abundant planning periods during the school day;, • A research-based curriculum and supporting curricular materials;, • High-quality formative assessments, aligned with the curriculum, that help identify when students have not achieved mastery of a skill, concept, or knowledge item; and, • Full-time reading and math specialists who tutor students struggling to master an essential skill, and counselors and social workers who help students struggling with non-academic problems. Requirements Teacher certification is required for this role. Candidate must hold a CE, CEAS, Limited CE, or Standard Certificate in “Physics" or Physical Science. Benefits Charter schools ARE public schools. Our teachers are part of the New Jersey Teachers’ Pension and Annuity Fund (TPAF), same as teachers at traditional public schools, and can transfer their pension credits from a traditional public school to our school and vice versa. Additional benefits include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan, • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development As an equal opportunity employer, Empowerment Academy hires without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, or disability.

CO-FOUNDER, AI LEADERSHIP PRACTICE Glocap | New York This role is open to remote, in-person (New York), or hybrid arrangements. THE OPPORTUNITY Every boardroom is asking the same question: Who should lead AI at our company, and how do we build the right team? For private equity firms and portfolio companies, asset managers, manufacturers, consumer businesses, professional services firms and healthcare organizations, the challenge is not simply adopting AI. It is finding the right people to turn AI into real business results. Glocap has spent three decades placing exceptional people in investment firms and the companies they own. We are launching a new practice focused on helping businesses outside the technology sector recruit AI leaders and build AI teams at every level. We are looking for a Co-Founder to build it alongside a senior Glocap partner. Your partner will lead client development and bring longstanding relationships with CEOs, investors, operating partners and boards. You will lead the talent side: knowing who the exceptional AI builders and operators are, evaluating their real technical achievements, and helping clients assemble the teams they need. This is not a recruiting job that happens to involve AI. It is an AI job whose product is people. WHAT YOU WILL DO • Build a deep network of outstanding AI talent across frontier labs, applied-AI startups, big tech, consulting practices and early AI adopters., • Evaluate candidates engineer to engineer and distinguish actual production experience from impressive vocabulary., • Help CEOs and investors define the AI leadership their business needs, whether that is a Head of AI, Chief AI Officer, AI Operating Partner or another executive profile., • Help clients build complete AI teams, placing engineers, applied researchers, product leaders and other AI specialists at every level, not only the top executive., • Build enduring relationships with candidates; understand their motivation and pair them with the right opportunities., • Use AI-native tools and workflows to rethink sourcing, research, outreach and assessment., • Co-develop the practice's strategy, positioning, pricing, hiring and economics. WHO YOU ARE You are an AI builder who genuinely loves people. You have technical credibility, strong judgment, unusual curiosity about others, and the ambition to create a business rather than simply take another job. Ideally, you have: • A strong technical foundation in computer science, engineering, mathematics, physics or a related discipline., • Hands-on AI or machine-learning experience, typically around two to five years, including shipping real LLM or applied-AI products or systems., • Deep engagement with new models and tools, with opinions grounded in firsthand use., • An instinct for asking good questions, building trust and connecting people., • The ability to translate complex technical ideas into clear business language., • The maturity to advise senior executives and the entrepreneurial drive to build from an early stage. Prior recruiting experience is not required. We expect the right person may never have considered executive search. WHY GLOCAP You will have a true founding role in a new practice while benefiting from an established firm's relationships, reputation and infrastructure. Together with a senior Glocap partner, you will build a business in one of the most consequential shifts in how companies operate. COMPENSATION Annual base salary: 100k and up Plus meaningful profit sharing in the new AI practice, subject to agreed terms. APPLICATION To apply, please email elizabeth@glocap.com.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: The Facilities & Maintenance Technician is a critical role responsible for the upkeep, repair, and general maintenance of our physical infrastructure. You will support our engineering and research teams by ensuring a safe, organized, and fully functional work environment. As a non-exempt employee, this role is eligible for overtime and requires a reliable, "can-do" attitude. Key Responsibility Areas: • General Maintenance: Perform routine repairs including plumbing, basic electrical (lighting, switches), carpentry, and painting., • HVAC & Systems: Monitor building automation systems and perform basic preventative maintenance on HVAC units and air filtration systems., • Laboratory Support: Assist in the assembly of lab benches, installation of equipment utilities (compressed air, cooling water lines), and minor structural modifications., • Vendor Coordination: Escort and supervise external contractors (e.g., janitorial, landscaping, specialized MEP) to ensure work is completed safely and correctly., • Safety & Compliance: Conduct weekly safety walkthroughs, maintain fire extinguishers/eyewash stations, and ensure compliance with OSHA and local building codes. Support chemical management process with compliant chemical storage and disposal efforts., • Inventory Management: Track and order maintenance supplies, tools, and hardware to ensure zero downtime for facility needs., • Emergency Response: Serve as a point of contact for facility-related emergencies during and occasionally after standard business hours.Ideal Experience & Skillsets:, • Experience: 3+ years of experience in commercial facilities maintenance, preferably within a laboratory, manufacturing, or high-tech environment., • Technical Proficiency: Strong understanding of building systems (MEP), power tools, and diagnostic equipment. Ability to read technical schematics and construction drawings., • Experience with cryogenic fluid and high vacuum systems is a bonus., • Physical Requirements: Ability to lift up to 50 lbs, climb ladders, and remain on your feet for extended periods., • Certifications: High school diploma or GED required. Trade school certification or a specific license (HVAC, Electrical, Plumbing) is a major plus. Forklift and scissor lift operation will be required, previous certifications are desired., • Soft Skills: Strong communication skills and the ability to prioritize tasks in a fast-paced, evolving startup environment.Company Benefits:, • Salary range $26/hour - $34/hour, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics. It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. 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.

chemistry expertisescientific document analysisanalytical reasoningdata interpretationresearch skillsquestion and assessment creationenglish written and verbal communicationcollaborationattention to detailindependent workmicro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Chemistry Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze and interpret complex scientific documents, datasets, and research papers related to chemistry., • Develop, review, and refine high-quality questions and answers that challenge and expand AI understanding., • Apply analytical techniques to assess and extract key insights from provided materials., • Collaborate with cross-functional teams to ensure scientific rigor and clarity in content., • Interface with documentation and contribute to continuous process improvement., • Provide feedback and domain expertise on model outputs and system performance., • Ensure the accuracy, relevance, and integrity of all chemistry-related data and input. Required Skills and Qualifications: • Bachelor’s degree or higher in Chemistry or a closely related field., • 2+ years of professional experience in academia, laboratory, or industry settings., • Proven ability to read, comprehend, and analyze technical documents and research studies., • Excellent English proficiency, with strong written and verbal communication skills., • Demonstrated experience in data retrieval, computation, and analytical reasoning., • Ability to work independently with minimal supervision, delivering high-quality results., • Strong attention to detail and scientific accuracy. Preferred Qualifications: • Advanced degree (MS, PhD) in Chemistry or related discipline., • Experience in creating educational or assessment materials., • Familiarity with interdisciplinary collaborations (e.g., physics, biology).

mechanical engineeringtechnical document analysisproblem-solvingwritten and verbal communicationdata analysisattention to detailself-managementinterdisciplinary collaborationtechnical content creationdata quality assurancemicro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Mechanical Engineer Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation

Job Description Turn Research Into Real-World Impact. At Trexquant, we believe exceptional research belongs in the real world. We're a systematic hedge fund that applies cutting-edge machine learning, statistics, and large-scale data analysis to global financial markets. Every day, our researchers tackle complex, open-ended problems using massive datasets, novel algorithms, and scientific experimentation - with the opportunity to see their ideas deployed in live markets. Whether your background is in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline, you'll find an environment where intellectual curiosity, rigorous research, and innovation are at the center of everything we do. No prior finance experience is required- we're looking for exceptional researchers and problem solvers. Responsibilities: As a Quantitative Researcher, you'll help develop the next generation of machine learning models that identify predictive patterns in global financial markets. Your work may include: • Designing and implementing state-of-the-art machine learning models for large-scale prediction problems, • Working with massive structured and alternative datasets to uncover meaningful signals, • Developing novel statistical methods and predictive features, • Reading, evaluating, and extending cutting-edge academic research, • Designing experiments, testing hypotheses, and validating ideas through simulation, • Collaborating with experienced researchers across disciplines to transform research into production-ready strategies, • Your research has a direct impact - from idea generation to live trading Find the Team That Fits Your Strengths Rather than hiring into a single narrow role, we match researchers to the team where they can have the greatest impact. Alpha Research Discover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior. Data Science Identify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights. Strategy Research Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation. Throughout the interview process, we'll learn about your research interests, technical strengths, and career goals to determine the team that's the best fit for you. Requirements • PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline, • Strong interest in machine learning, statistics, or artificial intelligence, • Excellent programming skills in Python, • Outstanding analytical and problem-solving abilities, • Ability to work independently while collaborating effectively with multidisciplinary teams, • Curiosity, creativity, and a passion for solving difficult problems What Makes Trexquant Different • Work on intellectually challenging, open-ended research problems, • Apply cutting-edge machine learning to real-world systems with measurable impact, • Collaborate with accomplished researchers from diverse scientific disciplines, • Access large-scale datasets and significant computational resources, • See successful ideas transition from research into production, • Join a culture that values curiosity, experimentation, and scientific rigor Benefits • Competitive salary plus bonus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices. The base salary for this role is $150,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job DescriptionJob Title: Physics Expert – Professor / Principal Investigator Role Type: Contractor Location: Remote Job Overview We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems. In this role, you will apply deep subject-matter expertise to evaluate competing physics arguments, assess technical reasoning, and provide authoritative judgments on complex or ambiguous scientific questions. The ideal candidate brings a strong record of independent research, scholarly impact, and scientific leadership. No prior AI experience is required—your physics expertise, research judgment, and ability to evaluate complex scientific reasoning are what matter most. Scope of Work • Adjudicate contested or competing physics arguments, solutions, and interpretations within your area of expertise., • Compare alternative approaches to complex physics problems and explain which approach is stronger, under what assumptions, and within which applicable regimes., • Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific soundness of competing solutions., • Assess key assumptions, approximations, limitations, failure modes, and breaking points within technical arguments., • Provide calibrated expert judgments, distinguishing established conclusions from genuine uncertainty, unresolved questions, or active areas of research., • Draft rigorous, defensible written evaluations suitable for review by senior physicists and research professionals., • Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test assumptions, or compare technical claims where appropriate., • Clearly explain when a question remains unresolved within the field and identify the relevant scientific considerations., • Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement.Required Skills, • Physics Mastery, • Expert Judgment in Ambiguous Cases, • Meta-Level Reasoning, • Research Leadership, • Defensible Written Articulation, • Scientific Analysis, • Technical Evaluation, • Research Communication, • Critical ThinkingPreferred Qualifications, • PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield., • Current or former Associate Professor, Full Professor, Chair Professor, Principal Investigator, or Research Group Leader with a strong record of independent research leadership., • Active or recent research experience in one or more of the following areas:, • High Energy Physics, • Mathematical Physics, • Biophysics, • Statistical Physics, • Condensed Matter Physics, • AMO / Quantum Optics, • Gravitation, • Cosmology, • Astrophysics, • Quantum Information, • Optical Properties of Materials, • 3–5 recent representative publications in the target research area, with arXiv or DOI references available., • Experience supervising PhD students, postdoctoral researchers, or equivalent research leadership in an industry setting., • Proficiency with LaTeX, SymPy, Python, and Jupyter; candidates should be prepared to indicate any gaps in experience with these tools., • Exceptional written and verbal communication skills, with the ability to articulate nuanced scientific judgments clearly and rigorously., • Demonstrated ability to distinguish between established scientific knowledge, reasonable interpretations, and genuinely unresolved questions.

Job Description Silicon Photonic Packaging & Process Engineer About Voyant Photonics Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. The Opportunity: As a Principal Silicon Photonic Packaging & Process Engineer, you will lead the development and scaling of precision opto-mechanical assembly processes. You will work closely with photonics, mechanical, and test teams to translate design concepts into R&D builds then into repeatable production processes. You will also partner with our contract manufacturers to qualify lines, improve yields, and drive continuous process improvements. This is a unique opportunity to take ownership of critical opto-mechanical and electronic assembly processes that define the precision, yield, and quality of Voyant’s LiDAR modules. You will establish new package designs focused on robust, high-yield manufacturing processes, optimize production at our global contract manufacturers, and help scale complex, high-precision processes from R&D to high-volume production. Your work will directly impact Voyant products, accelerating time-to-market, reducing cost, and ensuring consistent product quality across global manufacturing sites. This position requires willingness to travel up to 25% domestically and internationally, both within the United States and internationally (primarily Europe and Asia), to support process transfer, line qualification, and build execution at our manufacturing partners. Key Responsibilities Package Design: Familiarity with various packaging technologies including organic and ceramic substrates. Wafer level packaging and 2.5D/3D assembly processes as well as those listed below. Identifying and initiating business with substrate suppliers and assembly houses. Working through the design process mechanically, thermally and electrically to create the optimal solution while staying within supplier manufacturing capabilities. Creating CAD models for simulation and performing simulations to verify designs prior to release. Precision Lens Assembly: Own process definition and control for automated microlens alignment and bonding. Program motion sequences, optimize camera and vision-based routines, and tune process parameters (alignment offsets, bonding dwell, UV cure profiles, placement forces) to achieve sub-micron accuracy and high yield. Die Placement Process Ownership: Define and maintain process parameters for high-precision die-attach and placement equipment. Drive correlation between pick-and-place accuracy, epoxy flow, and bond-line thickness for consistent optical coupling. Epoxy and Adhesive Dispense Control: Establish and control parameters for automated dispense systems. Develop dispense recipes controlling needle diameter, pressure, time, temperature, and material conditioning. Characterize cure profiles and shrinkage impacts on optical alignment stability. Yield and DOE Execution: Design and execute structured DOEs to characterize process sensitivity and optimize yield. Use statistical methods to quantify variability and identify dominant factors affecting alignment accuracy, void formation, or optical loss. Reliability and Qualification: Familiarity with microelectronics and photonics reliability and qualification standards such as Telecordia, JESD47 and AEC-Q. Also able to lead Root Cause Corrective Actions (RCCAs) with suppliers, Design and Process FMEA’s and DOE planning. Measurement and GR&R: Define measurement methods and run GR&R studies on critical parameters (e.g., placement accuracy, epoxy volume, bond-line thickness). Ensure metrology tools and data systems at the CM are calibrated and controlled. Factory Execution and Scale-Up: Lead the implementation of robotics, automation, and material handling solutions by partnering with automation suppliers and contract manufacturers to enable scalable, high-throughput production. Drive failure analysis (FA) and corrective actions (CA) on process-related issues, and continuously improve yield, throughput, and takt time. Partner with the contract manufacturer to qualify processes, train operators, and own line readiness for precision optical assembly builds. Qualifications: BS or MS in Mechanical, Manufacturing, Photonics, or Electrical Engineering (or equivalent experience) 10+ years hands-on experience in semiconductor, photonics packaging, or precision opto-mechanical assembly environments CAD modeling and simulation, SolidWorks preferred experience Deep familiarity with automated alignment and die-attach systems Strong understanding of adhesive dispense physics (viscosity, wetting, cure shrinkage) and related automation equipment Proficiency with DOE methods, SPC, and Minitab (or equivalent tools) Demonstrated experience working with automation solution providers and contract manufacturers to transfer and adapt prototype processes into high-volume production Excellent problem-solving skills and ability to collaborate across mechanical, optical, and test teams Willingness to travel up to 25% domestically and internationally Preferred Qualifications: Experience with automated micro-optics or fiber alignment processes Experience in standard optics alignment and assembly for lens-to-PIC coupling Familiarity with standard micro-electronic assembly (die attach, wire bond, hermetic lid seal, PCBA/SMT) Understanding of cleanroom protocols and ESD control best practices Familiarity with ISO 9001 process control or automotive-style production quality systems Understanding of photonic packaging materials (epoxies, UV adhesives, underfills) and their environmental stability Background in precision metrology systems (e.g., digital microscopes, interferometers, or confocal profilers) Experience with Finite Element Analysis for both mechanical and thermal simulations Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $150K - $250K

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Atomic Layer Deposition (ALD) Experts Type: Contract Compensation: $84/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization to build high-quality training and evaluation data., • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy., • Design and solve challenging, expert-level problems in ALD and semiconductor processing., • Rate and rank model outputs against defined scientific criteria, with clear written reasoning., • Structure technical knowledge—process parameters, recipes, characterization results—into well-organized, model-ready data., • Deliver reliable, high-quality work within defined timelines. Qualifications Must-Have • Hands-on experience developing, optimizing, or troubleshooting ALD processes., • Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications., • A strong grasp of precursor chemistry and surface reaction mechanisms., • Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.)., • An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, chemical engineering, or physics., • Clear written English and the ability to explain technical reasoning precisely. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Inorganic Materials, Semiconductor & Superconductor Experts Type: Contract Compensation: $84/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Contribute domain expertise across synthesis, characterization, fabrication, and device physics to build high-quality training and evaluation data., • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy., • Design and solve challenging, expert-level problems in your area of specialization., • Rate and rank model outputs against defined scientific criteria, with clear written reasoning., • Structure technical knowledge — experimental procedures, characterization results, process data — into well-organized, model-ready data., • Deliver reliable, high-quality work within defined timelines. Qualifications Must-Have • Hands-on experimental experience in one or more of: inorganic synthesis (solid-state, solution, solvothermal, sol-gel), superconducting materials, or semiconductors and advanced packaging., • Strong materials or device characterization skills (XRD, SEM, TEM, spectroscopy, electrical/transport measurements)., • An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, physics, or a related engineering field., • Clear written English and the ability to explain technical reasoning concisely. Preferred • Experience with thin-film growth or device fabrication (MBE/epitaxy, MOCVD, CVD, sputtering, IBAD, etch, clean-room microfabrication). Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionCompany Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description As a Mid-Level AI / Agent Application Engineer, you will be the core builder of the organization's new agentic workforce. Working under the guidance of the Chief AI & Analytics Officer, you will develop the actual agents, write the APIs (tools) the agents will use, and optimize the data pipelines that feed context to the AI. ESSENTIAL DUTIES AND RESPONSIBILITIES: Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: • Architect, design and implement scalable, multi-agent systems that automate complex, multi-step business processes., • Translate existing processes, and develop novel multi-agent architectures for new opportunities, • Implement agentic solutions leveraging agent orchestration frameworks (e.g., Google ADK, LangGraph, CrewAI, etc.)., • Design secure "tool-calling" architectures, allowing LLMs to interact with internal databases, CRMs, and APIs safely., • Implement LLMOps/AgentOps best practices, • Mitigate AI-specific security risks, such as prompt injection, hallucination loops, and unauthorized tool execution., • Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias., • All other duties as assigned. EXPECTATIONS OF THE JOB: • Travel: Some travel may be required for meeting with clients, stakeholders, or off-site personnel/management, • Hours: 40 hours per week, Monday to Friday The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position. An individual in this position must be able to successfully perform the expectations listed above. Qualifications MINIMUM KNOWLEDGE, SKILLS AND ABILITIES: The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. • Ph.D. in Computer Science, Engineering (Electrical, Mechanical, Chemical), Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related field., • 1 - 7+ years of software engineering experience, • Expert-level proficiency in Python and/or TypeScript., • Experience with MCP architectures, • Proficiency in Rust, • Deep understanding of agentic design patterns (e.g., ReAct, Plan-and-Solve, Reflection, Tree of Thoughts, etc.)., • Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models (Llama 3, Mistral, etc.)., • Experience with vector and graph databases, • Experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search)., • Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). PREFERRED QUALIFICATIONS: • Experience in enterprise scale deployment of multi-agent architectures., • Expert-level proficiency in Rust., • 3+ years specifically in generative AI, LLMs, or cognitive architectures., • Extensive experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search). Additional Information OUR CULTURAL BELIEFS Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $178,000 to $215,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time. All your information will be kept confidential according to EEO guidelines. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). This role is eligible for hire in select U.S. locations based on business and operational considerations. For a full list of locations, visit eversana.com/careers. More information about EVERSANA’s benefits package can be found at eversana.com/careers. EVERSANA reserves the right to modify this base salary range and benefits at any time. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at applicantsupport@eversana.com. Follow us on LinkedIn | Twitter

Job Description Role: Senior Quantitative AnalystRole Description The Market Data Solution (MDS) and Risk Master (RM) businesses are seeking a high caliber candidate to join as a Senior Quantitative analyst their Mumbai office. This is a high-profile role which requires strong modelling skills coupled with a strong commercial awareness and excellent communication skills. Knowledge of market data processes or data modelling would be very useful but is not essential. Reporting to the Business Owner for MDS and RM, the key responsibilities are as follows • Develop APIs to for both open source and bank in-house quantitative libraries and market risk engines for both calibration as well as valuation use cases, e.g., • Zero Curve Calibration / Bootstrapping, • Hull White Model Calibration, • Put-Call Parity Analysis on Market Vol Data, • SABR Model Calibration, • Cubic Spline Interpolated Zero Rates, • Credit Curve (Survival Probabilities) Calibration / Bootstrapping, • Risk Factor de-composition: Regression of NonModellable Z-Spread Risk Factor on comparable Modellable Z-Spread Risk Factors to determine Modellable Explained and NonModellable Unexplained Risk Factors, • PCA for Curve Validation, • FX Stochastic Volatility Model: Heston implementation The role involves the integration of these APIs into the GoldenSource data model. To do this effectively the successful candidate will need to understand these models in the quant or market risk libraries, • Work with the development and pre-sales teams to prototype solutions for Market Risk and FRTB Use cases, e.g., • FRTB Risk Factor Eligibility Test, • Shock generation for Equity Vol Smile using gap filling, • Reconstruction of Equity Index time-series using proxy weightings, • Aggregation of risk sensitivities in Risk Warehouse for the standardized approach To be considered for this role you will need to have the following:, • MSc or PhD in Financial Mathematics, Mathematics or Physics or equivalent work experience, • Strong Knowledge of option pricing theory and financial mathematic, • Experience in a quantitative role for interest rates, FX or equities gained in an investment bank, • Experience in model’s development, programming and maintenance of model’s libraries, • Knowledge of derivatives products, • Strong programming skills in Python, • Good data modelling skills including some experience with RDMS, • Strong Excel, • Knowledge of Hadoop or Java would be good but not essential, • Prior experience of Open Gamma Strata or QuantLib would be good but not essential You will also need strong communication skills and the ability to articulate complex problems and solutions to all audiences. In addition, you should enjoy working in a fast-paced environment and be able to work to tight timescales. Excellent analytical skills with a strong focus on accuracy of information coupled with determination are also desirable skills.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilitiesWe Want to Talk to You! The Difference You Make: We are seeking a Vice President to join the Cross-Asset Structuring team, with a primary focus on structured notes and OTC derivatives. The team is responsible for designing, developing, and delivering innovative financial products linked to Equities, Fixed Income, Foreign Exchange, and Commodities (FICC) markets for institutional investors, distributors, private banks, and other client segments. The Structuring team partners closely with Sales and Trading to originate, design, and execute tailored investment and hedging solutions. Structurers combine strong quantitative expertise, commercial judgment, and problem-solving capabilities to deliver bespoke products that meet clients’ investment objectives while navigating regulatory, operational, and risk considerations. Key Responsibilities Structure securitized investment products, including structured notes and OTC derivatives across asset classes. Partner with Sales teams to originate, develop, and deliver new product opportunities for clients and the broader franchise. Lead the development and implementation of new products and platform capabilities, incorporating legal, regulatory, tax, accounting, funding, capital, and operational considerations. Drive the automation and enhancement of the structured products issuance platform, integrating pricing, term-sheet generation, booking, and lifecycle event processing. Collaborate closely with Risk, Legal, Compliance, Operations, Technology, and Trading to ensure products are delivered within applicable regulatory and governance frameworks. Serve as a product specialist, supporting Sales teams and participating in client meetings to help present product solutions and market insights. Produce marketing materials, product documentation, and payoff analyses to support business development and execution. Provide management with data on business trends, issuance activity, platform utilization, and growth opportunities. Lead and coordinate strategic automation and infrastructure initiatives across Technology, Operations, and Business Management teams. Identify opportunities to enhance and expand product capabilities, issuance processes, and client solutions across the platform. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor’s degree in a STEM-related discipline, including Mathematics, Statistics, Engineering, Physics, Computer Science, or a related quantitative field - Required Qualifications: 5+ years of experience in structuring, pricing, and executing structured products and OTC derivatives across Equities, Fixed Income, FX, and Commodities, with significant experience in structured notes. Deep understanding of market conventions, product mechanics, and issuance processes across multiple asset classes. Demonstrated ability to translate complex technical concepts into commercially viable client solutions. Strong project management skills with experience driving cross-functional initiatives from concept through implementation. Highly motivated self-starter with exceptional attention to detail and a focus on scalable, sustainable outcomes. Ability to manage multiple priorities and deliver results in a fast-paced environment with limited supervision. Excellent communication and stakeholder management skills, with the ability to collaborate effectively across Sales, Trading, Technology, Legal, Compliance, Risk, and Operations teams. Commercial, collaborative mindset with entrepreneurial attitude Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $225,000.00 USD Maximum: $250,000.00 USD We Value Your Impact: Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com) Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Inorganic Materials, Semiconductor & Superconductor Experts Type: Contract Compensation: $84/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Contribute domain expertise across synthesis, characterization, fabrication, and device physics to build high-quality training and evaluation data., • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy., • Design and solve challenging, expert-level problems in your area of specialization., • Rate and rank model outputs against defined scientific criteria, with clear written reasoning., • Structure technical knowledge—experimental procedures, characterization results, process data—into well-organized, model-ready data., • Deliver reliable, high-quality work within defined timelines. Qualifications Must-Have • Hands-on experimental experience in one or more of: inorganic synthesis (solid-state, solution, solvothermal, sol-gel), superconducting materials, or semiconductors and advanced packaging., • Strong materials or device characterization skills (XRD, SEM, TEM, spectroscopy, electrical/transport measurements)., • An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, physics, or a related engineering field., • Clear written English and the ability to explain technical reasoning concisely. Preferred • Experience with thin-film growth or device fabrication (MBE/epitaxy, MOCVD, CVD, sputtering, IBAD, etch, clean-room microfabrication). Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionPhysical Science High School Teacher (Chemistry / Physics / Earth & Space Science) School Year: 2026–2027 Location: Northside Charter High School About Us Northside Charter High School is a public, college-preparatory charter school serving grades 9–12 in North Williamsburg/Greenpoint (Brooklyn, New York). Our mission is to provide an enriching and innovative learning environment where students achieve postsecondary readiness, and our vision is that college completion becomes both expectation and reality for all students. We pursue this mission through an explicit IDEA commitment to Inclusion, Diversity, Equity & Anti-Racism, actively dismantling barriers and treating every identity as an asset. Our community lives on four core values—Commitment, Accountability, Respect, Integrity—which guide every policy and interaction. Position Summary Northside Charter High School seeks a motivated and highly organized Physical Science Teacher for the 2026–2027 academic year. The ideal candidate will deliver rigorous, standards-aligned instruction rooted in the NGSS and NYSED Regents framework, engage students through inquiry-based and hands-on learning, and demonstrate strong capacity to plan, deliver, and track Regents-aligned laboratory investigations. This position may include teaching Chemistry, Physics, and/or Regent Earth & Space Science, depending on school needs. Key Responsibilities Deliver NGSS- and NYSED Regents-aligned instruction in assigned physical science courses. Plan, implement, and assess Earth & Space Science Regents laboratory investigations, ensuring full compliance with NYSED requirements. Design, deliver, and document laboratory instruction (including hands-on lab investigations) that prepares students for Regents eligibility. Accurately track, update, and analyze required laboratory minutes and maintain organized lab documentation. Develop, update, and share weekly lesson plans in accordance with school expectations and instructional timelines. Utilize data from formative and summative assessments to inform instruction and support student growth. Implement differentiation, scaffolds, and accommodations to support diverse learners, including MLL students and students with an IEP.. Maintain an organized and up-to-date gradebook in alignment with school expectations. Collaborate with science department colleagues and administration to support curriculum alignment and Regents preparation. Maintain consistent, proactive weekly communication with caregivers regarding student progress, attendance, behavior, and academic expectations. Required Qualifications NYS Certification in a Science discipline (or in progress). Strong knowledge of NGSS and NYSED Regents standards. Experience delivering hands-on, inquiry-based science instruction. Strong organizational skills, particularly related to lab tracking and compliance. Highly Preferred Qualifications Demonstrated experience delivering NYSED Regents Earth & Space Science laboratory investigations, including required state labs. Strong knowledge and experience with the New Visions Earth & Space Science curriculum. Proven ability to prepare students for Regents exams through aligned labs and assessments. Competency in Powerschool as a Learning Management System to manage grades, attendance, and instructional data. Compensation and Benefits Competitive salary based on qualifications and experience. Comprehensive benefits package, including professional development and education growth reimbursement to support your career advancement. Fully funded FSA/HRA plan provided by the school to help cover healthcare and dependent care expenses. Supportive work environment with access to mentoring, instructional resources, and opportunities for collaboration.

Job DescriptionSTEM & Scientific AI Expert Location: Global, Fully Remote Job Type: Contractor (~15 hours per week) Schedule: Flexible Job Summary We are seeking STEM and scientific-domain experts to support AI training through complex problem-solving, scientific reasoning, data analysis, and Python-based coding. This is a coding-heavy role requiring experience with coding agents and the ability to evaluate AI-generated technical solutions. Areas of Expertise • Chemistry, Biology, Mathematics, and Physics, • Earth Science, Geoscience, and Environmental Science, • Robotics and related scientific or quantitative fieldsKey Responsibilities, • Solve complex scientific and mathematical problems within your expertise., • Use Python or other programming languages for calculations, simulations, and data analysis., • Review AI-generated solutions for scientific and technical accuracy., • Identify reasoning errors, incorrect assumptions, and missing constraints., • Validate solutions against project requirements.Required Qualifications, • Strong expertise in at least one relevant STEM discipline., • Practical programming experience, preferably with Python., • Strong analytical, scientific, and quantitative reasoning skills., • Experience using coding agents in your workflow., • Familiarity with tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant scientific libraries is beneficial. Relevant expertise may come from academic research, industry, teaching, engineering, or independent technical work. A specific degree or minimum number of years of experience is not required if expertise can be demonstrated. Selection Process • Submit an application and complete screening questions., • Complete an approximately 30-minute AI interview., • Complete the hiring manager review.Availability Candidates should be ready to start promptly, with the first task expected within 24–48 hours after onboarding.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Atomistic & Surface Modeling Experts (Computational Materials & Catalysis) Type: Contract Compensation: $84/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Contribute domain expertise in first-principles and molecular simulation to build high-quality training and evaluation data., • Review and evaluate AI-generated scientific reasoning to improve technical accuracy., • Design and solve expert-level problems in atomistic and surface modeling., • Rate and rank model outputs against scientific criteria with clear reasoning., • Structure technical knowledge into well-organized, model-ready data., • Deliver reliable, high-quality work within defined timelines. Qualifications Must-Have • Hands-on experience with atomistic modeling using first-principles or molecular methods (DFT, ab initio molecular dynamics, classical MD, or Monte Carlo)., • Experience modeling surfaces, interfaces, and adsorption or reaction phenomena., • Proficiency with standard tooling (e.g., VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, ASE, pymatgen)., • PhD in materials science, chemistry, physics, chemical engineering, or a related field., • Clear written English and the ability to explain technical reasoning concisely. Preferred • Experience modeling semiconductor-relevant materials or a background in computational (heterogeneous) catalysis. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Riverdale Country School, a Pre-K through Grade 12 independent all-gender school in New York City, is dedicated to inspiring students to live meaningful and purpose-driven lives. The school achieves this by fostering a culture of academic excellence, critical thinking, and curiosity, supported by a diverse and inclusive community. Riverdale emphasizes both high challenge and high support in its approach to education, encouraging students to engage deeply in interdisciplinary learning, research, and experiential education, both inside and outside the classroom and beyond our campuses. This holistic approach aims to develop well-rounded individuals who are prepared to make a positive impact on the world. At Riverdale, we strive to reflect the diversity of the New York metropolitan area in our students, faculty, and staff. We believe that a diverse and inclusive community enriches the educational experience and is integral to our mission. With a student body of approximately 1,300 students from 117 different zip codes, Riverdale is a vibrant community where 48% of our students identify as students of color. We seek to employ educators and leaders who bring a student-centered approach, passion for their work, a commitment to DEIB, and a desire to contribute to the growth and development of our entire school community. Position Overview Riverdale’s Middle and Upper School Science Department seeks a visionary, practicing scientist to serve as the Science Research Curriculum Integration Specialist. This is a newly created leadership role designed for a Ph.D.-level researcher who is passionate about translating professional scientific inquiry into the secondary school learning experience. The Integration Specialist will support the Director of Science Research and the Science Department Chair to integrate research skills throughout the Grade 6-12 science curriculum, working to bridge the gap between classroom theory and real-world discovery through a cohesive progression of skills, concepts, and content acquisition. The Integration Specialist will assist in developing a Science curriculum that prepares students to critically evaluate scientific claims encountered in media, civic, and personal contexts, while cultivating transferable inquiry skills such as asking productive questions, interpreting ambiguous information, and revising thinking in response to new evidence. Riverdale’s Commitment to Science Research For over 25 years, Riverdale’s Lisman Laboratories Science Research Program has redefined what is possible in secondary science education by placing high school students at the center of authentic, college-level research. Through faculty mentorship and deep, sustained collaborations with university laboratories and professional scientists, students design experiments, generate and analyze large genomic datasets, apply for external research funding, and publish peer-reviewed articles. This innovative model bridges high school education and experiential, place-based learning with meaningful scientific research, cultivating a culture where ingenuity, collaboration, and the creation of new knowledge drive both teaching and learning. The Science Research Curriculum Integration Specialist will extend the model created by Lisman Laboratories to ensure that every student engages with scientific inquiry at each stage of their academic progression. The Ideal Candidate Our ideal candidate is a scientist who finds as much joy in a student’s "lightbulb moment" as they do in a published paper. They are capable of looking at a traditional syllabus and seeing hidden opportunities for discovery. They possess the disposition, empathy, and desire to mentor novice learners, and the interpersonal skills to collaborate productively with a large and diverse faculty. Key ResponsibilitiesCurricular Innovation & Program Building Scaffold Research Integration: In collaboration with the Director of Science Research, audit the existing 6-12 science curriculum to identify and design "entry points" for authentic research, translating complex lab protocols into age-appropriate, modular learning experiences. Instruction: Teach one to two sections of science coursework, modeling inquiry-based pedagogy that prioritizes the process of discovery over rote memorization. Faculty Collaboration: Partner with teaching faculty to co-design and co-teach research units, providing the technical expertise needed to "level up" standard classroom experiments. Summer Research: Lead a signature summer research intensive that allows students to dive deep into longer-term projects. Facility Strategy: Facilitate communication to determine short-term equipment needs and long-term facility/space upgrades required to sustain a high-level research culture. Resource Curation: Maintain a centralized database of summer research and internship opportunities for the school community. Strategic Partnerships & Mentorship External Network: Leverage professional connections to strengthen and expand student internships and collaborative opportunities with research institutions and consortiums. Grant Leadership: Mentor students in the technical art of grant writing, guiding them to apply for external funding. Symposium Oversight: Direct the annual Science Research Symposium, transforming it into a premier showcase of student intellectual contributions. Requirements & Competencies Ph.D. in a scientific discipline (Biology, Chemistry, Physics, Environmental Science, or related field). Demonstrated Research Track Record: Experience in grant-funded research and a history of peer-reviewed publications. Scientific Translation: The ability to simplify complex professional workflows without losing scientific integrity. Instructional Design: Interest in and aptitude for creating educational content and "scaffolding" technical tasks for non-experts. Influence & Diplomacy: Strong "influence-without-authority" skills; the ability to work collegially with faculty to implement change. Project Management: Highly organized with the ability to manage the logistics of a symposium, grant deadlines, and lab budgets. Commitment to Youth: A genuine excitement for working with Middle and Upper School students and an enduring belief in their capacity for high-level inquiry. Intellectual Agility: Demonstrates the flexibility to thrive in a new and evolving role, the curiosity to continually explore new pedagogical and scientific frontiers, and the inventiveness to meet challenges creatively and contextually. DEIB Leadership: A demonstrated commitment to diversity, equity, inclusion, and belonging, ensuring that the path to scientific research is accessible to all students. Preferred Qualifications Experience in mentorship (high school, undergraduate, or graduate level). Experience with interdisciplinary teaching/learning (e.g., connecting Environmental Science with Ethics or Data Science). Familiarity with lab safety management and research budgeting. Experience with molecular ecology, genomics, conservation biology, and field-based research (e.g., sample collection, field instrumentation and sensor deployment, and specimen handling). Start date flexible with a preference for Spring 2027. Please note that interested candidates must submit a cover letter with their application. Applications without a cover letter will not be considered. To apply for this position, please click on the red “Apply for this Job” button. Please submit a resume and cover letter. If there are pronouns we should use in potential future communications, we invite you to share that information with us. For information about this position and all open positions, please visit the Careers page of Riverdale’s website. Benefits of Full Time Work at Riverdale Country School Working at Riverdale Country School is a purposeful and meaningful career choice that comes with many benefits including: Transportation: Shuttle service is available to/from the 242nd St / Broadway subway station. Limited stops are also available near transit hubs in Manhattan including the Metro North Harlem Station and subway lines – 1, 2, 3, 4, 5, 6, N, Q, R, A, B, C, and D. If there is need in the community, we can also run a shuttle from the Henry Hudson Parkway / 246th St bus stop which connects to the #7, #10, and Express Buses to/from Manhattan. Professional Development: A generous professional-development budget provides for conferences, skills training, and onsite training in areas such as mindfulness, coaching, and diversity, equity, inclusion, and belonging. Grants and Stipends: All employees are eligible for Frankel Fellow grants, known as “passion grants,” which pay for enrichment activities. More than 120 grants have been made to faculty and staff since the program started in 2014. Stipends are available for coaching, affinity group facilitation, advising clubs with significant out-of-school time, and chaperoning trips (including global trips!). Sabbatical: Full time teaching faculty are eligible for a sabbatical after 10 years of employment. Health Benefits: Riverdale offers and subsidizes health, dental, and vision insurance. In addition, the school offers a flexible spending account through which employees can use pre-tax dollars to pay for health-related expenses. Retirement: Employees are eligible to join our Defined Contribution retirement plan through TIAA. The school contributes 7% of an employee's annual salary to their retirement account. Vacation: Riverdale Country School has a generous time-off policy for staff in addition to vacations afforded by the school calendar. 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 DescriptionTechnical Advisor Internship (San Jose/New York City) – June-August 2027 Engineers can make great lawyers. We can help you on that path. HG Law LLP (HG) is a full-service intellectual property law firm with offices in New York City, San Jose, and London. We specialize in building strategic patent portfolios that support our clients’ businesses. Our clients span a wide range of engineering and technology sectors and rely on HG’s technical expertise to help protect and advance their innovations. In January 2027, HG will merge with Lathrop GPM, bringing together the strengths of both firms and further expanding Lathrop’s Intellectual Property Practice. Candidates selected for this position will join Lathrop GPM in June 2027 as Technical Advisor Interns within the combined Intellectual Property team. We are seeking rising seniors and Master’s students (class of 2028) in Engineering (ME, EE, CE, or Physics) to join the team as Technical Advisor Interns. Working closely with experienced attorneys on patent-related matters, you will gain hands-on experience in patent law while helping deliver high-quality IP services to clients. No prior legal experience is required. This is a full-time, in-office position (5 days per week). Responsibilities · Meet with inventors to discuss and protect innovations. · Draft and prosecute patent applications. · Assist clients in asserting and defending IP rights. · Conduct competitive landscape analyses. Qualifications · Rising senior or Master’s student in Engineering (ME, EE, CE, or Physics) who will graduate in 2028. · Exceptional communication skills (written and oral). · Excellent analytical skills and a healthy imagination for problem solving. · A strong drive and willingness to own projects and see them to completion. · An excellent academic record. · You are a self-starter with a healthy curiosity and an interest in developing a career in intellectual property. · Multi-dimensional interests. Whether you bring deep Star Trek knowledge or a refined love of cooking, we run best with interesting people. Compensation · $6,500 per month. · This is a temporary position and does not include standard employee benefits. Application Process To apply, please provide: · Resume · Cover Letter · Transcripts (unofficial accepted) · Writing Sample – Anything that showcases your writing skills. Please note that you will first need to create a profile and submit your resume and cover letter. Once your initial application has been submitted, you can upload the remaining attachments on the portal. HG Law LLP is an Equal Opportunity Employer and does not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, or any other protected status under applicable law. To perform this job successfully, the employee must be able to carry out each essential duty satisfactorily. The requirements listed represent the knowledge, skills, and abilities needed. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Job Description Patent Prosecution Agent Locations: Dallas, TX | Denver, CO | Houston, TX | New York, NY | Orange County, CA | Palo Alto, CA | San Francisco, CA | Washington, DC Experience: 3+ years Direct Counsel is seeking a highly qualified Patent Prosecution Agent with at least 3 full years of patent prosecution experience to join the Intellectual Property practice of a leading Am Law firm. The ideal candidate will have a strong technical background and experience supporting sophisticated patent portfolios for Fortune 200 clients. Position Highlights At least 3 full years of patent prosecution experience Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Computer Science, or Computer Engineering required Additional academic credentials in materials science, physics, or other engineering disciplines will also be considered Registered to practice before the U.S. Patent and Trademark Office (USPTO) Strong technical expertise and/or patent prosecution experience involving LTE/5G/6G wireless networks, computer hardware, artificial intelligence, and deep learning Ability to analyze complex technologies and work directly with inventors and in-house counsel Experience developing and managing strategic patent portfolios Excellent written and verbal communication skills Strong attention to detail and ability to manage multiple matters in a fast-paced environment Responsibilities Prepare, file, and prosecute U.S. and foreign patent applications Conduct inventor interviews and collaborate with clients to identify and protect innovative technologies Prepare office action responses, conduct examiner interviews, and draft other prosecution-related documents Support the development and management of domestic and international patent portfolios Monitor emerging technologies and developments in patent law relevant to client industries Work under partner-level supervision and mentoring while developing sophisticated patent prosecution strategies Compensation $150,000–$250,000 base salary, depending on experience, education, qualifications, geographic location, and other job-related factors. Additional compensation may include a discretionary bonus and comprehensive benefits. Locations Dallas, TX | Dallas-North, TX | Denver, CO | Houston, TX | New York, NY | Orange County, CA | Palo Alto, CA | San Francisco, CA | Washington, DC

Job DescriptionPatent Agent / Technical Specialist Locations: Austin, TX | Charlotte, NC | Chicago, IL | Dallas, TX | Denver, CO | Fort Worth, TX | Houston, TX | New York, NY | Orange County, CA | Palo Alto, CA | San Antonio, TX | San Francisco, CA | Tysons, VA | Washington, DC Experience: 2+ years Direct Counsel is seeking Patent Agents and Technical Specialists with 2+ years of patent prosecution experience to join the Intellectual Property practice of a leading Am Law firm. This opportunity is ideal for technically sophisticated professionals with strong patent application preparation and prosecution skills and a background in electrical engineering, computer science, computer engineering, or physics. Position Highlights 2+ years of patent prosecution experience Bachelor of Science degree or higher in Electrical Engineering, Computer Science, Computer Engineering, or Physics Well-developed experience preparing and prosecuting patent applications Patent or technical experience involving wireless telecommunications standards, signal processing, or computer networking Strong technical writing and analytical skills Excellent attention to detail and ability to manage multiple matters effectively Ability to collaborate effectively with attorneys, patent professionals, inventors, and clients Strong communication skills and a demonstrated ability to work in a fast-paced environment Compensation $110,000–$180,000 base salary, depending on experience, qualifications, location, and other job-related factors. Additional compensation may include a discretionary bonus and comprehensive benefits. Locations Austin, TX | Charlotte, NC | Chicago, IL | Dallas, TX | Denver, CO | Fort Worth, TX | Houston, TX | New York, NY | Orange County, CA | Palo Alto, CA | San Antonio, TX | San Francisco, CA | Tysons, VA | Washington, DC