Quantitative Trader Developer Jobs

Technical Business Analyst, Point72 A Career with Point72's Trade Research Team Point72’s Trade Research team supports the firm’s trading activity by delivering research, market data, and day-to-day support that help quantitative researchers and portfolio managers make informed decisions. WHAT YOU’LL DO Partner with Technology, Operations, Trading, Compliance, and other teams to prioritize, scope, and execute projects that support the Trade Research function Design and improve day-to-day workflows that leverage new technologies to increase team productivity and efficiency Coordinate with brokers and third parties to implement trading connectivity and resolve operational issues Streamline the team’s process for evaluating, investigating, and purchasing new market data Build strong relationships across internal functions to support research teams and address daily operational needs WHAT’S REQUIRED Strong project management and organizational skills, with the ability to prioritize multiple initiatives and drive them to completion Technical fluency, including coding experience and familiarity with cloud technologies such as AWS High degree of agency and ownership, with the ability to identify needs, solve problems, and execute independently Experience building partnership across business and operations functions Ability to design, improve, and document workflows that increase efficiency and support day-to-day operations Comfort working with market data, trading systems, brokers, and other third-party providers Strong communication skills and the ability to build relationships with internal stakeholders A proactive, solutions-oriented mindset, with strong attention to detail and a focus on operational excellence 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 provide: Fully-paid health care benefits Generous parental and family leave policies Voluntee

Role: VPN Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Responsibilities Manage and support corporate network infrastructure across multiple locations, including routers, firewalls, switches, wireless access points, VPN gateways, Internet links, and LAN/WAN connectivity. Configure and troubleshoot VPN technologies such as IPsec, SSL VPN, site-to-site VPN, remote-access VPN, WireGuard, OpenVPN, and FortiClient/FortiGate VPN, including issues related to authentication, tunnels, routing, DNS, packet loss, performance, split tunnelling, and firewall policies. Manage secure connectivity between offices, data centres, cloud environments, and remote users. Configure and maintain office LAN infrastructure, including VLANs, trunk/access ports, inter-VLAN routing, DHCP, DNS, NAT, ACLs, static routing, BGP, and OSPF where required. Manage multiple ISP connections, including primary and backup Internet links, automatic failover, and monitoring of utilization, latency, jitter, packet loss, and link availability. Coordinate with ISPs and telecom providers for new circuits, link failures, bandwidth upgrades, routing issues, packet-loss investigations, and service escalations. Manage firewall policies, NAT rules, VPN policies, network objects, and routing, while regularly reviewing and removing unnecessary access. Implement network segmentation across user, server, management, guest, and other business networks, while maintaining secure administrative access to network equip

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows. The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professiona

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Quant Trading (QT) Intern, you will be challenged to learn and adapt in an exciting team environment and will play a substantial role in our day-to-day trading and quant-related activities. Your impact is immediate and meaningful. You will become a member of a team for the summer and play a vital role completing project work and/or identifying trading opportunities and communicating with software engineers, quants, traders, and risk managers throughout the trading day. As part of the Summer Associate cohort, you will learn and socialize alongside other QT Interns and Software Engineering (SE) Interns. What to Expect The 8-week internship program gives you insight into our culture and an inward look into what our business is all about. You will participate in three classroom learning experiences including: a week-long Basics of Options class, a multi-week class on the fundamentals of market making (Mock Trading), and a multi-week class that introduces elements of our quant framework (Quant Curriculum). You will also attend planned social activities and talks from various business leaders to propel your professional growth

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Quant Trading (QT) Intern, you will be challenged to learn and adapt in an exciting team environment and will play a substantial role in our day-to-day trading and quant-related activities. Your impact is immediate and meaningful. You will become a member of a team for the summer and play a vital role completing project work and/or identifying trading opportunities and communicating with software engineers, quants, traders, and risk managers throughout the trading day. As part of the Summer Associate cohort, you will learn and socialize alongside other QT Interns and Software Engineering (SE) Interns. What to Expect The 8-week internship program gives you insight into our culture and an inward look into what our business is all about. You will participate in three classroom learning experiences including: a week-long Basics of Options class, a multi-week class on the fundamentals of market making (Mock Trading), and a multi-week class that introduces elements of our quant framework (Quant Curriculum). You will also attend planned social activities and talks from various business leaders to propel your professional growth, and

NK Securities Research is a leading financial firm that leverages cutting-edge technology, data-driven research, and sophisticated algorithms to trade financial markets. Founded in 2011, we have built deep expertise in high-frequency trading across different asset classes. We are a fast-growing organization with a strong research and technology culture. The firm’s lean and meritocratic structure enables individuals to work closely with experienced researchers, traders, and engineers, while taking ownership of high-impact problems from an early stage. Role Overview We are looking for an AI/ML Researcher to join our central AI/ML research team in India. This is a research-intensive role suited for individuals who enjoy mathematical problem-solving, experimentation, and working with complex, noisy, high-dimensional datasets. The role will involve close collaboration with quantitative researchers, traders, engineers, and business stakeholders to identify areas where AI/ML can create meaningful value across the firm. The ideal candidate should be comfortable working on open-ended research problems, converting ideas into structured experiments, and building models that can be evaluated rigorously in real-world settings. Key Responsibilities As an AI/ML Researcher, you will: Work on our GPU cluster to research and understand the fine-grained behavior of large neural networks and LLM training. Fine-tune existing open-source models and build benchmarks to evaluate their performance. Explore and analyze large-scale financial market datasets. Build ML and statistical models for pattern discovery, prediction, and signal generation. Work on short-horizon, noisy, and non-stationary market data. Conduct feature engineering, model validation, and performance evaluation. Study pricing, market microstructure, and execution-related research problems. Convert research ideas into structured experiments with measurable outcomes. Collaborate with quantitative researchers, trad

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity We're looking for an Analyst who thrives at the intersection of transportation economics, supply chain strategy, and quantitative modeling. This is a high-visibility individual contributor role—you won't be managing people, you'll be doing the work that directly shapes our network design, carrier strategy, and cost structure. In this role, you will not just build models, but proactively identify high-impact cost-saving and optimization opportunities, transforming raw analysis into business-critical strategy.Your analysis will inform senior leadership decisions on carrier RFPs, zone skip expansion, FC location strategy, and how we price and position our fulfillment product against competitors. You'll partner closely with carrier ops managers, supply chain leadership, data science, and commercial teams to turn complex data into clear, actionable recommendations. You Will Own lane analysis and zone skip strategy including lane-level margin modeling, utilization thresholds, go/no-go decision frameworks for trailer dispatch, and identification of new lane opportunities across our middle mile and deep injection network. Drive Cross-Functional Execut

A Career with Point72’s Valuation Team The Point72 Valuation team manages the valuation of all investments across the firm’s extensive hedge fund, private equity, and venture capital portfolios. The team’s investment valuation coverage ranges from exchange traded products to derivatives traded in OTC markets, to venture capital and private equity. The Valuation team provides valuations and P&L for investments for stakeholders across the firm, including Senior Management, portfolio managers/deal teams, Risk Management, and investor reporting. What you’ll do Manage the valuation of mortgage-backed securities, including specified pools, CMOs, TBA/TBA options, and non-agency products. Oversee market data inputs to valuation models, ensuring compliance with the firm’s valuation policy. Perform model validation for new or upgraded valuation models supporting new products and system enhancements. Perform price testing analysis against counterparty valuation and third-party pricing vendors such as Bloomberg, JPM PricingDirect, and BofA PriceServe. Maintain valuation support documentation to evidence the accuracy of investment valuations. Partner with investment professionals, Risk, and other supporting teams on pricing, valuation, P&L, and valuation models. Collaborate with the Technology team to implement valuation setups for new products and automate valuation processes. What’s required 7+ years of mortgage valuation experience covering agency MBS, including specified pools, CMOs, TBA/TBA options, as well as non‑agency products such as RMBS, CMBS, and CLO. Strong quantitative or finance background. Strong knowledge of derivatives valuation modeling principles. Knowledge of financial products and Greeks, particularly in the derivatives space. Strong sense of ownership and the ability to resolve issues independently. Excellent interpersonal and communication skills, both written and verbal, with the ability to work effectively on a cross-functional team. Strong lead

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop and automate methodologies to analyze and resolve supply shortages through data mining and planning system insights. Optimize silicon supply plans using industrial engineering tools to ensure inventory distribution across all designs based on Micron strategy. Review and influence demand signals to improve supply fill rates and address shortages. Implement and maintain Fab Device ID (DID) prioritization logic to guide demand and safety stock fulfillment across fabs. Support modeling of trade-off scenarios between Fab constraints to enable flexible capacity planning and minimize trade ratio losses. Integrate Fab stability logic into planning systems and validate related dashboards and KPIs (e.g., Tableau) for performance monitoring. Analyze demand, supply, and shipment trends using statistical tools to identify risks and opportunities to the business revenue plan. Evaluate key demand signals including customer backlogs and forecasts using rule-based and statistical demand analytics engines. Synthesize large volumes of quantitative and qualitative data into actionable insights for leadership and cross-functional teams. Evaluate inventory mix to identify slow-moving, orphaned, overstocked, or quality-hold inventories and collaborate with stakeholders on resolution strategies. Employer will accept a Master’s degree in Industrial Engineering, Operations Research, Supply Chain or a related field. Position requires: 1. Operations Research skills in one of the following: Linear Programming, Queuing Theory, Statistical Anal

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. Positions, PnL, and hedging all run through our Mid-Office team. When the numbers our traders and risk team rely on are wrong, this is where it gets found and fixed. The role We're looking for a Software Engineer to join our Mid-Office team in this role, you'll own the systems that keep positions, PnL, and hedging correct across every venue we trade. You build and run the platform, and you're the one who notices when a number looks wrong and follows it until you know why. You will: Own the books. Maintain and evolve our position, trade, and PnL systems so they stay accurate across every venue. Do the quant work. Build and refine our hedging, Greeks, margin models, and early exercise premium calculations. Surface the risk. Build the risk views and calculations that show traders and the risk team what exposure we're carrying. Support the desk. Work side by side with traders and researchers, making sure the data they rely on is correct and available. Deliver reporting. Provide the data that internal stakeholders and regulators require, PnL breakdowns, trade surveillance, treasury accounting, and compliance. Own it in production. Spot discrepancies in live data, trace the root cause, and maintain what you ship. What we're looking for An engineer at heart with a strong quantitative background. Real enthusiasm for the engineering work. A relevant educational background, ideally in a quantitative field such as Mathematics, Econometrics or Computer Science. Professional work experience with Python, Grafana and PostgreSQL. Strong Debugging skills. You can trace problems to their source even in unfamiliar systems A critical mind that follows things until completion, high ownership, and clear communication in English Nice to have Experience in finance (ideally trading), on the systems behind positions, PnL, risk, a

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role AlphaSense is maturing its security risk management program and needs a Senior Risk Analyst to be a core builder and operator of that function. You will design, implement, and mature a risk framework that spans information security, AI, and operational risk—building toward a program that is quantitative-leaning, connected to live data sources, and actionable at every altitude from service owner to executive leadership. You will establish risk identification and scoring methodologies, own the enterprise risk register, and produce risk intelligence that drives real decisions. You will also support the TPRM function led by a dedicated TPRM lead, contributing to assessments and risk tracking as needed. You approach this with an AI-native mindset: using AI to monitor threat landscapes, analyze risk data, draft risk narratives, and surface emerg

Who we are Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. Stripe Apps connect Stripe with the tools businesses already use, bringing relevant data and workflows into the Stripe Dashboard and third-party systems. The Strategic Apps team owns a portfolio of integrations with enterprise systems that are critical to our users’ workflows—from quote-to-cash and support to reporting. We help users embed Stripe more deeply into the way they run their businesses. What you’ll do We’re looking for a Staff Product Manager to set the strategy and lead execution for Strategic Apps. You will own a portfolio of existing and new integrations, including those with systems such as Salesforce, and determine where Stripe should invest based on user needs, Stripe’s product and industry priorities, and market signals. You will work across Stripe and directly with external partners to deliver reliable, high-quality integrations that drive adoption and business outcomes. Own the vision, product strategy, roadmap, and success metrics for a portfolio of strategic apps, making and communicating clear trade-offs amid significant ambiguity. Identify, prioritize, and validate the highest-value user problems and integration opportunities through direct user research, ecosystem analysis, and quantitative evidence. Lead cross-functional teams across Engineering, Design, Data Science, Finance, Sales, User Support, Marketing, Partner Management, and other product teams to deliver and evolve integrations end to end. Par

Who we are Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. Stripe Apps connect Stripe with the tools businesses already use, bringing relevant data and workflows into the Stripe Dashboard and third-party systems. The Strategic Apps team owns a portfolio of integrations with enterprise systems that are critical to our users’ workflows—from quote-to-cash and support to reporting. We help users embed Stripe more deeply into the way they run their businesses. What you’ll do We’re looking for a Staff Product Manager to set the strategy and lead execution for Strategic Apps. You will own a portfolio of existing and new integrations, including those with systems such as Salesforce, and determine where Stripe should invest based on user needs, Stripe’s product and industry priorities, and market signals. You will work across Stripe and directly with external partners to deliver reliable, high-quality integrations that drive adoption and business outcomes. Own the vision, product strategy, roadmap, and success metrics for a portfolio of strategic apps, making and communicating clear trade-offs amid significant ambiguity. Identify, prioritize, and validate the highest-value user problems and integration opportunities through direct user research, ecosystem analysis, and quantitative evidence. Lead cross-functional teams across Engineering, Design, Data Science, Finance, Sales, User Support, Marketing, Partner Management, and other product teams to deliver and evolve integrations end to end. Partner with Engineering to define product requirements, technical approach, and quality standards for integrations, including APIs, documentation, edge cases, reliability, security, compliance, and ongoing maintenance. Establish feedback loops

About Zoox Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. About Our Part Time Student Worker Program Zoox’s program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission. Project Overview Zoox is seeking a motivated (graduate or upper-level undergraduate) student worker to join our team, focusing on (building and validating a driving risk assessment system, an experimental RAG system for proactively testing autonomous-vehicle behavior) In this role, you will: Design, build, and iterate on an end-to-end RAG pipeline for autonomy validation, owning it from prototype to demo Define and run empirical experiments that "show it with data" rather than relying on assumptions Work through ambiguous, open-ended problems with a researcher's mindset and a bias toward rapid iteration Communicate complex results, trade-offs, and uncertainty clearly to the team and stakeholders Qualifications Currently pursuing a B.S. or M.S. in a relevant quantitative field (Engineering, CS, Physics, Neuroscience, Biology/Computational Bio, or similar) Strong programming skills in Python Solid data manipulation understanding (e.g., SQL, Pyspark, Scala) Solid foundation in machine learning and statistics Comfort operating independently under high uncertainty on open-ended problems Excellent written and ver

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a Quantitative Research Intern, you'll spend 10-12 weeks working on research that directly shapes how we understand markets and build trading strategies. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are quantitatively sharp, practically minded problem solvers, programmers, mathematicians and scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises, discovering predictive patterns from billions of market events, designing statistical models, and applying machine learning to open research problems. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Designing experiments and backtests to evaluate hypotheses Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn how experienced researchers approach hard problems: breaking them down, questioning assumptions, and deciding based on evidence rather than intuition. You'll be paired with a mentor, reporting manager and buddy, with regular code reviews and feedback through