Alexander Chapman

Quantitative Researcher

Alexander Chapman New York, United States

Save

Direct message the job poster from Alexander Chapman

A systematic Hedge Fund is seeking a Systematic Quantitative Researcher to join its equities and futures investment team. This role is ideal for candidates with 2–5 years of experience in quantitative research or systematic trading strategy development within a hedge fund, proprietary trading firm, or asset manager. You’ll have the opportunity to work closely with experienced PMs and researchers to develop and enhance systematic strategies across global markets.


Key Responsibilities

  • Conduct research and development of short- to medium-term systematic strategies with a focus on equities and futures.
  • Explore and analyze large, diverse datasets to identify alpha opportunities and market inefficiencies.
  • Collaborate with PMs, data scientists, and engineers to translate research ideas into live trading strategies.
  • Continuously monitor and refine models based on live trading outcomes and market conditions.


Candidate Requirements

  • 2–5 years of experience in quantitative research, alpha generation, or systematic trading (equities or futures preferred).
  • Strong programming skills in Python, R, or C++.
  • Solid foundation in statistics, econometrics, and time-series analysis.
  • Clear evidence of research curiosity and contribution to data-driven trading ideas.
  • Master’s or PhD in a quantitative field (e.g., Mathematics, Physics, Statistics, Computer Science, or Engineering).

  • Seniority level

    Associate
  • Employment type

    Full-time
  • Job function

    Finance
  • Industries

    Financial Services and Investment Management

Referrals increase your chances of interviewing at Alexander Chapman by 2x

See who you know

Get notified about new Quantitative Researcher jobs in New York, United States.

Sign in to create job alert

Similar jobs

People also viewed

Similar Searches

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More