Quantitative Researcher
Jane Street(18 days ago)
About this role
A Quantitative Researcher intern at Jane Street works alongside experienced researchers to learn how to identify market signals, analyze large-scale financial datasets, and build and test models and trading strategies. The program combines hands-on project work with classes, seminars, and mentorship to teach experiment design, dataset generation, and the end-to-end process of producing trading signals. Flights and accommodation are provided for the Hong Kong program.
Required Skills
- Python
- Machine Learning
- Data Science
- Time Series
- Feature Engineering
- Experiment Design
- Programming
- Statistical Modeling
About Jane Street
janestreet.comJane Street is a global quantitative trading firm and liquidity provider that combines quantitative research, software engineering, and proprietary trading strategies to trade equities, bonds, options, futures and ETFs across major markets. The firm emphasizes technology-driven, low-latency systems and collaborative problem solving — it’s known for heavy engineering culture (including widespread use of OCaml) and rigorous risk management. Jane Street serves institutional counterparties and runs systematic and market-making operations to provide liquidity. It also recruits strongly from math, physics and computer science backgrounds and offers internships and graduate roles in trading, research, and engineering.
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