Quantitative Trader

Jane Street

$150K — $200K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong quantitative and analytical skills
  • Experience in collaborative problem-solving environments
  • Excellent organizational and communication abilities
  • Proactive and reliable with a growth mindset
  • Open to learning and adapting to new technologies

Responsibilities

  • Identify and analyze market signals to develop trading strategies
  • Construct and implement quantitative models and algorithms
  • Conduct rigorous statistical analysis for decision-making
  • Manage risk associated with trading activities
  • Engage in hands-on training and gain trading responsibilities quickly
  • Collaborate with experienced traders to enhance learning and development
  • Participate in a continuous educational curriculum throughout the year

Benefits

  • Access to extensive data and cutting-edge computational resources
  • Collaborative and supportive office environment
  • Hands-on training with experienced traders
  • Opportunity to work with diverse statistical and machine learning techniques
  • Focus on individual growth and learning, regardless of background
Full Job Description
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, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of 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. If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. We're looking for smart people who enjoy solving interesting problems, and we're more interested in how you think and learn than what you currently know. You should be: - A critical thinker with a strong quantitative mind - A collaborative problem-solver who enjoys working on a team - Proactive, reliable, and courteous with strong organizational and communication skills - Eager to ask questions, admit mistakes, and learn new things A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required. If you'd like to learn more, you can read about our interview process and meet some of the team.

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