Quant Finance Jobs in New York

Jane Street is a quantitative trading firm and global liquidity provider. They trade a wide range of financial products including ETFs, equities, futures, options, bonds, and currencies on over 200 venues in 45 countries. Known for their unique culture that blends rigorous quantitative thinking with collaborative problem-solving, Jane Street is widely considered one of the most prestigious and selective quant firms in the world. They are heavy users of OCaml for their trading systems.

Roles: Quantitative Trader, Quantitative Researcher, Software Engineer

Two Sigma is a technology-driven investment firm that applies data science, advanced mathematics, and distributed computing to find value in the world's data. Managing over $60 billion in assets, they use machine learning, artificial intelligence, and vast computing power to build predictive models for financial markets. Two Sigma is known for its engineering-first culture and emphasis on scientific rigor.

Roles: Quantitative Researcher, Software Engineer, Quantitative Analyst, Modeler

D.E. Shaw is one of the pioneering quantitative hedge funds, founded by former Columbia University computer science professor David Shaw. Managing over $60 billion, the firm employs computational techniques across a broad range of investment strategies including systematic, discretionary, and hybrid approaches. They are known for their highly intellectual culture and were early pioneers in applying computational methods to finance.

Roles: Quantitative Analyst, Software Developer, Trader, Research Analyst

Hudson River Trading (HRT) is a quantitative trading firm that combines advanced algorithms, cutting-edge technology, and rigorous research to provide liquidity in global markets. Known for their collaborative culture and emphasis on engineering excellence, HRT trades across equities, futures, and other asset classes using ultra-low-latency systems. They are considered one of the top-tier HFT firms globally.

Roles: Algorithm Developer, Quantitative Researcher, Systems Engineer, Core Engineer

Point72 is a global asset management firm led by Steven A. Cohen, managing over $35 billion in assets. Their quantitative division, Cubist Systematic Strategies, employs systematic and algorithmic approaches to trading. Point72 also runs the Point72 Academy, a training program for aspiring portfolio managers. The firm combines fundamental and systematic investing across equities, macro, and other strategies.

Roles: Quantitative Researcher, Data Scientist, Software Engineer, Investment Analyst

AQR (Applied Quantitative Research) is a global investment management firm that manages over $100 billion through a disciplined, research-driven approach. Founded by Cliff Asness, the firm is known for pioneering factor-based investing strategies including value, momentum, and alternative risk premia. AQR publishes extensive academic research and is a thought leader in quantitative finance. They offer both hedge fund and long-only strategies.

Roles: Quantitative Researcher, Portfolio Analyst, Software Engineer, Risk Analyst

Millennium Management is one of the largest and most established multi-strategy hedge funds in the world, managing over $60 billion in assets. Founded by Israel Englander, the firm operates a platform model where hundreds of independent portfolio management teams deploy capital across equities, fixed income, commodities, and quantitative strategies. Millennium provides its teams with cutting-edge technology, risk management infrastructure, and operational support.

Roles: Quantitative Researcher, Portfolio Manager, Software Engineer, Risk Analyst

Virtu Financial is a leading financial services firm and market maker that uses cutting-edge technology to provide liquidity across hundreds of securities, asset classes, and markets in over 50 countries. As a publicly traded company (NASDAQ: VIRT), they offer transparency into their operations. Virtu is known for their technology-driven approach and had a famous streak of only one losing trading day over 1,238 days.

Roles: Quantitative Developer, Quantitative Strategist, Software Engineer, Trader

Five Rings is a proprietary trading firm that uses quantitative techniques and technology to trade in global financial markets. They focus on derivatives, including options and futures, using mathematical modeling and sophisticated execution systems. Five Rings is known for their intellectually rigorous culture and smaller, tight-knit team environment compared to larger quant firms. They emphasize deep analytical thinking and creative problem-solving.

Roles: Quantitative Trader, Quantitative Developer, Quantitative Researcher

PDT Partners is a systematic trading firm that spun out of Morgan Stanley's legendary Process Driven Trading group. They use mathematical and computational techniques to develop and execute trading strategies across global markets. PDT is known for their deeply quantitative culture, strong emphasis on original research, and preference for PhDs in STEM fields. Despite being smaller than some peers, they are highly respected in the quant community.

Roles: Quantitative Researcher, Software Engineer, Systems Engineer

Tower Research Capital is a proprietary trading firm specializing in high-frequency and quantitative trading strategies. They employ sophisticated mathematical and statistical techniques combined with cutting-edge technology to trade across major global exchanges. Tower is known for its decentralized structure where small autonomous teams develop and deploy their own strategies. They have offices in New York, London, Amsterdam, and Mumbai.

Roles: Quantitative Trader, Core Developer, Quantitative Researcher, Network Engineer

Squarepoint Capital is a global quantitative investment management firm that employs systematic, computer-driven trading strategies. Spun out of Barclays, they manage significant assets using machine learning, statistical modeling, and advanced technology across equities, futures, FX, and other instruments. With offices in London, New York, Singapore, Montreal, and other cities, Squarepoint offers a strong platform for quantitative research with a collegial, academic-style environment.

Roles: Quantitative Researcher, Software Engineer, Data Engineer, Quantitative Analyst

GTS is a quantitative electronic market making firm and one of the largest designated market makers (DMMs) on the New York Stock Exchange. They use technology and quantitative models to provide liquidity across equities, ETFs, options, and fixed income markets. GTS acquired Barclays' electronic market-making franchise and has grown to become a major presence in U.S. equity markets. They handle approximately 5% of daily U.S. equity cash volume.

Roles: Quantitative Developer, Software Engineer, Quantitative Researcher, Trading Technologist

Trillium Trading is a proprietary trading firm based in New York that employs quantitative and discretionary trading strategies across U.S. equities markets. They combine electronic trading with human judgment and have developed sophisticated trading technology for rapid execution. Trillium offers a unique training program for new traders and has been a significant player in U.S. equity market making.

Roles: Proprietary Trader, Quantitative Developer, Trading Analyst

WorldQuant is a quantitative asset management firm with more than 1,100 employees across 28 offices globally. Founded by Igor Tulchinsky in 2007, the firm also sources alphas from outside researchers through WorldQuant BRAIN, a free platform whose strongest users may be invited to become paid part-time research consultants. They develop trading models (alphas) using vast datasets and deploy them systematically. WorldQuant University, a separate tuition-free not-for-profit, is connected to the firm through the WorldQuant Foundation.

Roles: Quantitative Researcher, Software Engineer, Data Scientist, Research Consultant

Winton Group is a technology-driven investment management firm founded by David Harding, a pioneer in systematic trend-following strategies. Managing billions in assets, Winton applies scientific methods, big data, and advanced statistical techniques to financial markets. They were one of the first firms to use massive datasets and computational power for systematic trading. Winton has offices in London, New York, Hong Kong, and Sydney.

Roles: Quantitative Researcher, Data Scientist, Software Engineer, Investment Researcher

Schonfeld Strategic Advisors is a multi-strategy hedge fund managing approximately $13 billion in assets. They operate a multi-manager platform with teams across quantitative, fundamental equity, and tactical trading strategies. Schonfeld has been significantly expanding their systematic and quantitative capabilities in recent years, investing heavily in technology and research infrastructure. They are known for their entrepreneurial culture and support for portfolio managers.

Roles: Quantitative Researcher, Software Engineer, Data Scientist, Portfolio Analyst

ExodusPoint Capital Management is a multi-manager hedge fund founded by Michael Gelband, formerly of Millennium Management. Despite being relatively young, ExodusPoint quickly raised one of the largest hedge fund launches in history. They employ quantitative and discretionary strategies across macro, relative value, and equities. The firm provides its portfolio managers with advanced technology, data, and risk management infrastructure.

Roles: Quantitative Researcher, Software Engineer, Risk Analyst, Data Engineer

Verition Fund Management is a multi-strategy hedge fund managing approximately $12 billion in assets. They deploy capital across quantitative, equity, credit, and event-driven strategies using a multi-manager platform model. Verition has grown significantly and is known for their technology-forward approach to investment management. They provide portfolio managers with advanced analytics, risk tools, and operational support.

Roles: Quantitative Researcher, Software Engineer, Data Analyst, Risk Analyst

Paloma Partners is a multi-strategy hedge fund with a long history of quantitative and systematic trading. They deploy capital across multiple trading strategies and have been a steady presence in the quantitative hedge fund space for decades. Paloma is known for their disciplined approach to risk management and portfolio construction. They operate a platform model supporting various trading teams.

Roles: Quantitative Researcher, Software Engineer, Risk Analyst

Kepos Capital is a quantitative macro hedge fund founded by Mark Carhart and Bob Litterman, two pioneers in quantitative finance. Carhart created the famous four-factor model, and Litterman co-developed the Black-Litterman asset allocation model at Goldman Sachs. Kepos uses systematic models to trade global macro strategies across rates, FX, commodities, and equities. The firm is respected for its intellectual rigor and deep academic roots in quantitative finance.

Roles: Quantitative Researcher, Software Engineer, Portfolio Analyst

Capstone Investment Advisors is a global alternative investment management firm specializing in volatility and derivatives strategies. Managing over $10 billion in assets, they use quantitative models to trade options, volatility, and other derivatives across global markets. Capstone is known for their deep expertise in options markets and volatility trading, combining systematic approaches with discretionary overlay.

Roles: Quantitative Researcher, Quantitative Trader, Software Engineer, Risk Analyst

Alphadyne Asset Management is a global fixed income relative value and macro hedge fund managing over $10 billion in assets. They specialize in rates, FX, and credit trading using both quantitative and fundamental approaches. Alphadyne has offices in New York, London, and Singapore, and is known for their deep expertise in global fixed income markets and systematic approach to identifying relative value opportunities.

Roles: Quantitative Researcher, Software Engineer, Trader, Risk Analyst

Ansatz Capital is a young but well-regarded quantitative trading firm founded by former employees of top HFT firms. They focus on developing and deploying sophisticated algorithmic trading strategies using machine learning and low-latency technology. Despite being relatively new, Ansatz has attracted top talent from established quant firms and is rapidly growing. They trade across equities and futures markets globally.

Roles: Quantitative Researcher, Software Engineer, Systems Engineer

Sculptor Capital Management (formerly Och-Ziff Capital Management) is a global multi-strategy hedge fund managing significant assets across credit, equities, and multi-strategy approaches. They employ both quantitative and fundamental techniques across their investment strategies. Sculptor has a long track record in alternative investments and has been increasingly incorporating systematic approaches into their investment process.

Roles: Quantitative Analyst, Software Engineer, Investment Analyst, Risk Analyst

Coatue Management is a technology-focused investment firm managing over $45 billion across public equities, private equity, and venture capital. Founded by Philippe Laffont, Coatue uses data science and quantitative analysis to supplement their fundamental technology investing approach. They have built a significant data science team that uses alternative data, machine learning, and natural language processing to gain insights into technology companies and trends.

Roles: Data Scientist, Software Engineer, Investment Analyst, Quantitative Analyst

Davidson Kempner Capital Management is a global institutional alternative investment management firm managing approximately $37 billion in assets. They employ strategies across distressed, event-driven, credit, and quantitative approaches. The firm has been expanding their quantitative capabilities and hiring data scientists and quantitative researchers. They have offices in New York, London, Dublin, Hong Kong, and other locations.

Roles: Investment Analyst, Quantitative Researcher, Software Engineer, Data Scientist

Hudson Bay Capital Management is a multi-strategy hedge fund employing both quantitative and fundamental strategies. They focus on relative value, event-driven, and systematic strategies across equities, credit, and volatility. Hudson Bay has been growing their quantitative team and investing in technology infrastructure to support systematic trading approaches alongside their established fundamental strategies.

Roles: Quantitative Researcher, Software Engineer, Portfolio Analyst, Risk Analyst

Ellington Management Group is an investment management firm specializing in mortgage-backed securities, consumer loans, corporate credit, and other fixed income strategies. They use sophisticated quantitative models to analyze and trade complex structured products. Founded by Michael Vranos, Ellington is known for their deep expertise in MBS and structured credit markets and their quantitative approach to fixed income investing.

Roles: Quantitative Analyst, Software Engineer, Mortgage Analyst, Risk Analyst

Goldman Sachs' Strats (Strategies) and QIS (Quantitative Investment Strategies) divisions are among the most prestigious quant roles in banking. Strats teams develop quantitative models for pricing, risk management, and trading across all asset classes. The QIS team develops systematic investment strategies sold to institutional clients. Goldman Sachs offers unparalleled exposure to global markets and a well-structured career path for quantitative professionals.

Roles: Quantitative Strategist, Quantitative Analyst, Software Engineer, QIS Researcher

Morgan Stanley's Quantitative and Derivative Strategies (QDS) group and other quant teams are highly regarded in the industry. Their quantitative teams develop pricing models, risk analytics, and trading strategies across equities, fixed income, FX, and commodities. Morgan Stanley also has a strong electronic trading division and was previously home to the legendary PDT (Process Driven Trading) group that later became PDT Partners.

Roles: Quantitative Analyst, Software Engineer, Risk Analyst, Quantitative Developer

J.P. Morgan's Quantitative Research (QR) group and AI Research division are among the largest quant teams in banking. The QR group develops mathematical models for pricing, hedging, and risk management across all asset classes. Their AI Research division applies machine learning and artificial intelligence to financial applications. J.P. Morgan has invested heavily in AI and technology, maintaining one of the largest tech teams in the financial sector.

Roles: Quantitative Researcher, AI Research Scientist, Software Engineer, Quantitative Analyst

Deutsche Bank's quantitative research teams develop mathematical models and trading strategies across their investment banking and asset management divisions. They are particularly well-regarded for their QIS (Quantitative Investment Strategies) group, which develops systematic investment products. Deutsche Bank offers strong quant opportunities in London, New York, and Frankfurt, with competitive roles in derivatives pricing, risk, and systematic trading.

Roles: Quantitative Analyst, Quantitative Researcher, Software Engineer, Risk Analyst

Duality Group is a technology-driven quantitative trading firm founded by former senior employees of Two Sigma and Google. They apply advanced machine learning, alternative data, and large-scale computing to develop systematic trading strategies. Despite being a newer firm, Duality has assembled a team of top-tier ML researchers and quantitative professionals. They are known for their emphasis on cutting-edge AI research applied to financial markets.

Roles: Machine Learning Researcher, Quantitative Researcher, Software Engineer, Data Engineer

BlackRock is the world's largest asset manager with over $10 trillion in assets under management. Their Systematic Active Equity (SAE) team manages quantitative equity strategies using machine learning, alternative data, and advanced analytics. BlackRock's Aladdin platform is the industry standard for portfolio management and risk analytics. Their quantitative teams span systematic investing, risk analytics, and AI research, offering unmatched scale and resources.

Roles: Quantitative Researcher, Software Engineer, Data Scientist, Risk Analyst

Castleton Commodities International (CCI) is a global commodity trading firm focused on energy markets. They trade natural gas, power, crude oil, and refined products using both quantitative and fundamental approaches. CCI has been building out their quantitative capabilities, hiring data scientists and quant researchers to develop systematic commodity trading strategies. They combine deep commodity market expertise with advanced analytics.

Roles: Quantitative Analyst, Data Scientist, Software Engineer, Commodity Trader

Vatic Investments is a systematic quantitative trading firm founded by former senior researchers from top quant funds. They develop and deploy machine learning-based trading strategies across equity markets. Despite being a newer entrant, Vatic has attracted significant capital and top talent from established firms. They represent the new generation of quant firms built on modern ML infrastructure and research practices.

Roles: Quantitative Researcher, Machine Learning Engineer, Software Engineer

Quantitative Brokers (QB) is a financial technology firm that develops advanced algorithmic execution strategies for futures and fixed income markets. They use machine learning and quantitative analytics to optimize trade execution for institutional clients. QB is known for their sophisticated order execution algorithms that minimize market impact and trading costs. They combine deep market microstructure research with cutting-edge technology.

Roles: Quantitative Researcher, Software Engineer, Algorithm Developer

HAP Capital is a New York-headquartered proprietary trading firm that transacts in US and international equity and index options. Registered as a broker-dealer, HAP quotes as a market maker on major US options venues, competing with firms such as Susquehanna, Optiver, Akuna, Maven and Five Rings on the options side. The firm is deliberately lean relative to its larger competitors, which shapes both its culture and its interview process toward fewer, longer conversations with senior traders rather than a highly standardised graduate loop.

Roles: Quantitative Trader, Quantitative Researcher, Software Engineer

Galaxy Digital is a technology-driven financial services and investment management firm providing institutions with a full suite of digital asset services. Their trading division acts as a market maker and liquidity provider in the cryptocurrency space, using quantitative strategies and algorithmic execution. Founded by Mike Novogratz, Galaxy bridges traditional finance and the crypto ecosystem, offering OTC trading, lending, and asset management services.

Roles: Quantitative Trader, Software Engineer, Data Scientist, Blockchain Developer

Paradigm is an institutional liquidity network for crypto derivatives. They provide a platform for institutional traders to execute large options and futures trades across major crypto exchanges. Paradigm connects market makers, hedge funds, and institutions in the digital asset derivatives space. They combine deep crypto market expertise with sophisticated technology to facilitate efficient price discovery and execution.

Roles: Software Engineer, Quantitative Analyst, Product Manager, Trading Operations

Talos is an institutional-grade digital asset trading technology platform that provides infrastructure for crypto trading, settlement, and portfolio management. They serve market makers, hedge funds, and OTC desks with sophisticated execution tools and connectivity to major crypto venues. Talos combines traditional capital markets technology experience with crypto-native innovation to build institutional-quality trading infrastructure.

Roles: Software Engineer, Quantitative Developer, Product Manager, Solutions Engineer