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Quantitative Researcher

Jane Street· Trading, Research, and Machine Learning
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Hybrid (London)full-timePosted 2mo ago

About the role

Quantitative Researchers to help build models, strategies, and systems that price and trade financial instruments. Work with experienced researchers, learn experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Collaborate across researchers, engineers, and traders to train models, architect systems, and run trading strategies on large-scale data environments.

Responsibilities

  • Help build models, strategies, and systems that price and trade financial instruments.
  • Collaborate with researchers, engineers, and traders to train models and run trading strategies.
  • Study experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.
  • Work with large-scale data environments (petabytes, large compute clusters, GPUs) and systems in production.

Qualifications

  • - Able to apply logical and mathematical thinking to problems.
  • - Intellectual curiosity; eager to ask questions, admit mistakes, and learn new things.
  • - Strong programmer comfortable with Python.
  • - Open-minded thinker and precise communicator who enjoys collaboration across backgrounds.
  • - Fluent in English.
  • - PhD or other research experience is a plus, though not mandatory.

Skills

Required:Mathematical/Statistical thinkingPython programming
Nice to have:Experiment designTime series analysisData generation/feature engineering
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Jane Street

SIX

Jane Street is a quantitative trading firm and liquidity provider with a unique focus on technology and collaborative problem solving.

Machine learningquantitative tradingtechnologyresearch-drivenglobal marketsinternshipseventsprograms
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