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Quantitative Researcher

Jane Street· Trading, Research, and Machine Learning
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Hybrid (Hong Kong)full-timePosted 3mo ago

About the role

Quantitative Researchers to help build models, strategies and systems that price and trade financial instruments. Roles include experiment design, dataset generation, time series analysis, feature engineering and model building on financial datasets, with collaboration across researchers, engineers, and traders.

Responsibilities

  • Build models, strategies and systems that price and trade financial instruments
  • Apply experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets
  • Collaborate with researchers, engineers and traders to train models, architect systems and run trading strategies
  • Explore and apply a range of statistical and machine learning techniques to problems, from linear models to deep learning, depending on the problem
  • Tune hyperparameters and study production behavior of models in a data-rich, GPU-enabled environment

Qualifications

  • Able to apply logical and mathematical thinking to all kinds of problems
  • Intellectually curious; eager to ask questions, admit mistakes and learn new things
  • Strong programming ability in Python
  • Open-minded thinker and precise communicator who collaborates across backgrounds
  • Fluent in English

Skills

Required:Mathematical thinkingPythonExperiment designTime series analysisFeature 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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