Jane Street is a global quantitative trading and technology firm founded in New York in 2000. What began as a small group of traders and technologists has grown into a firm with more than 3,000 employees across five global offices. Jane Street trades across more than 200 venues in 45 countries and participates in a wide range of markets and asset classes.
At its core, Jane Street is a market maker and liquidity provider. The firm combines quantitative analysis, detailed knowledge of market mechanics, and substantial trading infrastructure to price and trade products continuously across global markets. It is particularly well known for its work in ETFs, while also operating extensively in equities, bonds, options, and other products. Its trading approach places heavy emphasis on understanding uncertainty, market structure, tail risks, and the details that drive prices when markets behave unusually.
Research is deeply integrated with trading. Quantitative researchers analyse large datasets, build and test predictive models, study market behaviour, develop new strategies, and write code that takes those ideas into production. Jane Street also invests heavily in machine learning, including deep learning models used in trading and the infrastructure required to train and run them at scale. Researchers, traders, and engineers work closely together rather than as isolated teams, which allows ideas to move quickly between statistical research, market intuition, and production systems.
Technology is equally central to the firm. Jane Street is known for using OCaml as its primary development platform and applies functional programming across trading systems, research infrastructure, monitoring, and internal tooling. Its engineering work also spans low-latency networking, distributed systems, compilers, programmable hardware, FPGA and ASIC design, data infrastructure, and performance engineering. The firm has contributed to open-source projects and has invested in improving the OCaml ecosystem itself.
The result is a company that sits unusually close to the intersection of mathematics, computer science, statistics, and financial markets. Jane Street recruits people for quantitative trading, research, machine learning, software engineering, hardware, and related technical roles, and places substantial emphasis on problem solving, precise communication, intellectual curiosity, and learning rather than requiring a traditional finance background.
