Quantitative Researcher

Jane Street

$120K — $180K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proven ability in logical and mathematical problem-solving
  • Proficiency in programming, particularly with a willingness to learn OCaml
  • Strong research acumen with preference for innovative and exploratory questions
  • Excellent communication skills, fostering collaboration across diverse teams
  • Experience with analyzing large datasets and developing models or trading strategies

Responsibilities

  • Develop and test quantitative trading models and strategies
  • Analyze large datasets to uncover actionable insights
  • Collaborate with traders and engineers to implement trading solutions
  • Embrace challenges by asking questions and exploring unknowns
  • Continuously refine and improve trading systems and methodologies

Benefits

  • Collaborative work environment that bridges trading and technology
  • Opportunity to work on cutting-edge financial models and strategies
  • Culture that values innovative thinking and problem-solving
  • Access to a diverse team with a variety of expertise
  • Support for professional growth and learning, particularly in functional programming
Full Job Description
About the Position

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.

About You

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. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. You should be:
  • Able to apply logical and mathematical thinking to all kinds of problems
  • Intellectually curious; eager to ask questions, admit mistakes, and learn new things
  • A strong programmer who's comfortable with Python
  • An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise

Most candidates will have experience with data science or machine learning, though your approach to problem-solving and capacity to learn will weigh just as heavily as your existing expertise. Having a PhD or other research experience is a plus.

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