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Jane Street

Machine Learning Researcher

Hybrid

London, United kingdom

Full Time

06-05-2025

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Job Specifications

About the Position

Machine learning is a critical pillar of Jane Street's global business, and our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation.

Researchers at Jane Street are responsible for building models, strategies, and systems that price and trade a variety of financial instruments. As a mix of the trading and software engineering roles, this work involves many things: analyzing large datasets, building and testing models, creating new trading strategies, and writing the code that implements them.

We’re looking for people to join the research team with deep ML experience in either an applied or academic context. A good candidate should have a deep understanding of a wide variety of ML techniques, and a passion for tinkering with model architectures, feature transformations, and hyperparameters to generate robust inferences. We also want people who are good communicators, with the ability to quickly absorb the context of a new problem, carefully consider tradeoffs, and recommend possible solutions.

As an ML researcher, your expertise will also shape the firm's future ML developments including hiring new ML researchers, attending conferences, teaching techniques to teammates, and setting firmwide goals.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Company

Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we’re just getting started. Jane Street does not o... Know more