Markets Quantitative Analyst Jobs

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. WHAT YOU'LL DO The Quant Developer will be responsible for building and maintaining the research infrastructure and backtesting frameworks that support quantitative research, working closely with researchers to translate research ideas into robust, scalable, and maintainable research systems. The role spans multiple areas, including system design, data pipeline development, and the development of research and backtesting frameworks. WHAT'S REQUIRED Background in Electrical Engineering, Computer Science, or a related field, with 3+ years of software development experience as a software engineer. Strong programming ability in C++ and Python. Solid command of CI/CD practices and tooling, with the ability to design and maintain automated testing and build pipelines for research and backtesting environments. Practical knowledge and hands-on experience with distributed computing and distributed job scheduling / task assignment. Excellent analytical and engineering problem-solving skills. Demonstrated ability to work independently on large datasets and large codebases. A strong team player who works closely with researchers to translate research ideas into stable, maintainable research systems. Willingness to take ownership of your work, able to operate both independently and within a small team, while remaining careful, detail-oriented, and capable of performing well under pressure. Strong English communication skills. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provid

Please send CVs to [email protected] with “202 7 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Our Firm: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship. Requirements: PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields Strong knowledge of computational math, probability, and statistics Strong analytical skills, with attention to details Good communication skills Willing to work in a fast-paced start-u

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization. We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication. You will report to a Data Science Manager. Responsibilities Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions Partner with product managers, engineers, and operators to translate the data into decisions and action Communicate findings to stakeholders in a clear and concise manner Experience Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relev

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Conduct primary and secondary research to identify market trends, growth opportunities, customer insights, and competitive dynamics. Perform market assessments, feasibility studies, competitor benchmarking, and industry analyses to support strategic decision-making. Develop market sizing models, demand forecasts, and channel evaluations to assess business potential. Analyze qualitative and quantitative data to generate actionable insights and business recommendations. Prepare clear, compelling, and visually engaging reports, presentations, and research deliverables. Collaborate with cross-functional teams to ensure efficient execution and timely delivery of client projects. Support business development initiatives by preparing proposals, case studies, pitch materials, and project execution plans. Conduct research to strengthen sales strategies, marketing campaigns, lead generation efforts, and go-to-market (GTM) initiatives. Engage with clients and stakeholders to understand business requirements and deliver high-quality, insight-driven solutions that enhance customer satisfaction. Key Requirements: Recent graduate or postgraduate with internship/project experience in market research, consulting, business analytics, or related fields. Strong interest in market research, business strategy, industry analysis, and consul

Our Strategy and Planning team, part of our broader Sales Operations team, strives to help our Sales organization go faster and grow faster. This function acts as business partners to our Senior Sales Leaders. You have an opportunity to embed yourself as the “COO” of the Enterprise business, and your responsibilities will range across a variety of strategic initiatives including analyzing inefficient business rules, piloting new sales roles, optimizing for obstacles in the sales process, and analyzing sales data to come up with meaningful business insights. We are seeking a Manager of Sales Strategy & Planning to run our AMER (West) region alongside our AI GTM strategy. This role will shape how our future organization becomes more productive, scalable, and AI-enabled—by defining high-impact use cases, driving cross-functional programs, and ensuring successful adoption of new capabilities. We are looking to speak to candidates who are based in San Francisco or Los Angeles for our hybrid working model. The Opportunity As an AMER Strategy and Planning Manager, you will: Help drive the analytical rhythm of our business including quarterly business reviews, org deep dives Organize and execute on the strategy of our AI GTM team - building the next wave of MongoDB customers Partner with Senior Sales leadership to drive market + segment specific analyses to uncover insight and provide recommendations Conceptualize and pilot new programs to test the effectiveness of various sales roles / comp plans Participate in quarterly and annual business planning for the Sales teams The Ideal Candidate Education: Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.) Experience: 5+ years of work experience in either Sales Strategy / Consulting / Sales Operations / Analytics Technical Aptitude: Strong proficiency in SQL, AI tooling, and data visualization Analytical Mindset: Proven experience working with large datasets to co

About APT Research Pvt. Ltd. APT Research is the research and data analytics arm of APT Portfolio, a quantitative investment firm that thrives on cutting-edge technology, scientific thinking, and deep market insight. We are a team of scientists, engineers, and innovators powering algorithmic trading and financial research at scale. Learn more at www.aptportfolio.com. The Data Management & Research (DMR) team plays a pivotal role in building high-performance systems, storage, distributed computing systems, research infrastructure, and pipelines that process, store, and analyze market data across global exchanges, enabling the firm's trading decisions and investment strategies. About the Role We are looking for a Senior Software Engineer / Tech Lead to join our DMR team — a self- driven engineer who enjoys solving hard problems, building scalable systems, and mentoring others while remaining deeply hands-on with code. This role blends individual technical depth with people and project leadership, making it ideal for someone who thrives in a fast-paced, analytical environment and wants to contribute across the stack — from systems architecture to production deployments. What You’ll Do · Design, prototype, and build robust data pipelines, APIs, and analytical systems using Python · Own and evolve large-scale distributed systems across PostgreSQL, MongoDB, and ClickHouse · Lead and mentor junior engineers while maintaining your own strong IC contributions · Collaborate with product managers, researchers, and trading teams to scope and ship features · Bring a systems thinking mindset — ensuring performance, monitoring, and maintainability · Rapidly prototype and iterate on solutions for real-time data processing and analytics · Drive best practices in software development, testing,

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Your Role Conduct comprehensive and timely reviews of various materials, including but not limited to marketing and other client-facing material, client reports, research papers, webisodes, and social media content. Assess materials across multiple asset classes and investment strategies for compliance with applicable global regulations (e.g., SEC Rule 206(4)-1, FINRA Rule 2210, ESMA, FCA and non-US regulatory regimes) and internal firm policies. Apply expertise in the review of complex presentations, including hypothetical and back-tested performance, reviewing for regulatory compliance. Provide proactive, clear, and solution-oriented guidance to business development and investment professionals regarding compliant advertising and performance reporting practices. Interpret and communicate about relevant regulatory rules and developments, translating them into actionable compliance and business guidance. Maintain relevant industry and regulatory knowledge, including monitoring and providing feedback on relevant rulemaking initiatives, risk alerts and other regulatory matters. Assist with the impl

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator

Role Description DocSend is expanding from a virtual data room solution into a deal execution platform. We’re seeking a Product Manager to help shape the next phase of DocSend’s growth. As a Product Manager on DocSend, you’ll own a broad set of customer experiences spanning from foundational workflows, like onboarding and content management, to our largest strategic initiatives, like AI-powered document analysis and multi-product integration. You’ll work closely with Engineering, Design, Data, and cross-functional partners to understand customer needs, set priorities, make product tradeoffs, and turn opportunities into high-quality experiences. This is an end-to-end product ownership role. You’ll combine customer empathy, quantitative and qualitative insight, strong product judgment, and clear communication to determine which problems matter most and guide the team from discovery through launch and iteration. Responsibilities Own customer-facing DocSend product areas end-to-end, from identifying customer problems and defining strategy through prioritization, execution, launch, measurement, and iteration. Drive foundational improvements across experiences, balancing near-term customer needs with the long-term quality and health of the product. Identify and develop strategic opportunities across Dropbox and DocSend, including multi-product experiences. Develop a deep understanding of DocSend customers through research, product data, feedback, and direct customer context, translating insights into clear product decisions and priorities. Partner closely with Engineering and Design to define problems, evaluate options and tradeoffs, maintain a high quality bar, and guide cross-functional execution. Define success measures, use quantitative and qualitative evidence to evaluate outcomes, and adapt the roadmap as customer needs, business priorities, technology, and market conditions evolve. Use AI and automation thoughtfully to improve workflows Requirements 5

About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country One of the fastest growing companies in Chicago Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation Year 1 Expected Earnings → $115,000 to $200,000. The expected salary range above may vary based on qualifications and experience. Title: Senior Product Manager, Customer Platform About this Job We're looking for a Senior Product Manager to own our customer-facing energy purchasing and tracking platform during a critical high-growth phase. You'll define and drive the vision for turning that platform into an interactive, data-rich experience — think Bloomberg Terminal or Robinhood — that gives clients real-time visibility and control over their energy purchasing decisions. This is a flagship customer-facing bet, and you'll be the senior product voice shaping it end to end. What You'll Do Own the product roadmap and vision for the customer-facing platform, translating energy purchasing and tracking into an interactive, real-time interface Partner with Engineering, Design, and Quantitative Strategy to define data visualizations, live pricing displays, and interactive tools that make complex energy market data intuitive for clients Gather requirements directly from clients, Sales, and Customer Success to identify what drives engagement and decision-making on the platform Write detailed product requirements and specs, and work closely with engineering to ship features that measurably improve client engagement and retention Define and track success metrics (engagement, retention, feature a

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re seeking a Senior Data Scientist to help us evaluate and improve the quality and performance of our AI systems. You’ll develop rigorous approaches to measuring system behavior, run experiments, investigate issues, and turn complex data into actionable decisions. This is a hands-on role at the intersection of data science, engineering, and applied AI. You’ll work directly with production data and systems and partner closely with Engineering, Product, and Analytics. Responsibilites AI Evaluation: Develop quantitative methods and tooling to evaluate AI system quality and performance. Experimentation: Design and run experiments to compare approaches, understand tradeoffs, and measure the impact of changes. Quality Monitoring: Build repeatable processes to identify regressions, anomalies, and changes in system performance. Data Analysis: Extract, transform, and analyze production data to support technical and product investigations. Technical Investigation: Diagnose complex issues involving data, models, and production systems, identifying root causes and potential solutions. Measurement & Instrumentation: Partner with Engineering to improve how system quality, reliability, and performance are measured. Internal Tooling: Build tools and dashboards that make system performance easier to understand and monitor. Communication: Clearly communicate findings,

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM) , trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. Role Overview We are seeking an analytical, customer-obsessed Product Manager (3–5 Years Experience) with a strong background in Product Research and Customer Satisfaction (CSAT/NPS) . In this role, you will sit at the intersection of enterprise customer needs, market intelligence, and product execution. You will act as the champion of the end-user, using qualitative research, data analytics, and direct customer feedback to shape the Hexnode product roadmap and ensure our platform remains the most user-centric UEM solution on the market. Key Responsibilities Product Research & Strategy Lead continuous product discovery through qualitative user interviews, quantitative surveys, competitive analysis, and usability testing with global IT administrators. Synthesize complex market trends and security/endpoint management requirements into actionable product requirements and detailed PRDs. Translate raw research insights into user personas, customer journey maps, and high-impact feature enhancements. Customer Satisfaction & Feedback Optimization Own and scale Hexnode’s Voice of Customer (VoC) program, directly connecting customer feedback loops (NPS, CSAT, G2/Capterra reviews, churn analysis) to sprint planning. Partner with Customer Success, Support, and Sales teams to identify major platform friction points, reducing time-to-value and customer churn. Design and manage Beta testing programs to validate feature utility and usability prior to full commercial rollout. Product Execution & Cross-Functional Leadership Work

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments Fluency in SQL and Python ,

Work Flexibility: Hybrid Stryker’s acquisition of Amplitude Vascular Systems (AVS) brings together AVS’s expertise in intravascular lithotripsy (IVL) technology with Stryker’s global scale and commitment to medical innovation. Our new Waltham, MA location offers an opportunity to join a growing team and help shape the future of this technology within Stryker. As a Sr. Manager, Upstream Marketing you will be responsible for defining and leading the upstream marketing strategy for key portfolios, shaping long-term vision, innovation priorities, and lifecycle management to drive sustainable growth. In this role, you will translate deep customer, clinical, and market insights into differentiated value propositions, portfolio strategy, and new product development direction through close partnership with R&D, Clinical, and cross functional stakeholders. The Sr. Manager influences senior leadership decision-making and ensures strategic alignment from early discovery through commercialization in a dynamic and competitive healthcare environment. This role is located in Boston, MA and requires onsite presence (~4 days per week except for travel days) at the Stryker PV office in that location. Also requires occasional travel to our Irvine, CA office, to support collaboration, team engagement, and business needs. What you will do Lead competitive and market intelligence efforts by advising on major competitors, anticipating future threats, and proactively adjusting strategy to improve market penetration and positioning. Drive deep customer and market understanding through VOC, market research, surveys, and trend analysis, translating qualitative and quantitative insights into clear, actionable business strategies. Identify unmet needs and innovation opportunities by validating key assumptions and partnering cross‑functionally to