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Quantitative Trader

janestreet
Found 2 months ago
Location
London, United Kingdom
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • quantitative
  • statistical
  • ML techniques
  • linear models
  • deep learning

Soft Skills

  • critical thinker
  • collaborative problem-solver
  • Proactive
  • reliable
  • courteous
  • organizational skills
  • communication skills
  • Eager to ask questions
  • admit mistakes
  • learn new things

Job Description

At Jane Street, quantitative traders identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum. At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

Requirements

  • critical thinker
  • strong quantitative mind
  • collaborative problem-solver who enjoys working on a team
  • Proactive
  • reliable
  • courteous with strong organizational and communication skills
  • Eager to ask questions
  • admit mistakes
  • learn new things
  • Fluent in English
  • General programming experience is a plus

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Trading

Languages

  • English

Nice to Haves

  • General programming experience
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