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Quantitative Researcher

Jane Street· Trading, Research, and Machine Learning
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Hybrid (New York, NY)$300k + bonusfull-timePosted 3mo ago

About the role

Quantitative Researchers to help build models, strategies, and systems that price and trade financial instruments, applying experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets.

Responsibilities

  • build models, strategies, and systems that price and trade financial instruments
  • apply experience in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets
  • collaborate with colleagues who will challenge and refine your approach
  • work with petabytes of data and a GPU cluster to train models, architect systems, and run trading strategies
  • explore a variety of statistical and machine learning techniques depending on the problem

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 programmer comfortable with Python
  • Open-minded thinker and precise communicator who enjoys collaborating with colleagues from diverse backgrounds
  • Most candidates will have experience with data science or machine learning; ability to learn and problem-solve is highly valued
  • Having a PhD or other research experience is a plus

Skills

Required:Python programmingExperiment designTime series analysisFeature engineering
Nice to have:Machine learning

Benefits

  • Base salary is $300,000
  • Total compensation includes an annual discretionary bonus
  • Equal Opportunity Employer
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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