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Campus Quantitative Researcher (Off-Cycle Intern, Winter/Spring 2027)

An off-cycle quant research internship at Jump's Hong Kong and Shanghai offices for students graduating in 2027. You get training and mentoring while building predictive models.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Train in ML, statistics, Python, C++ and market mechanics
  • Help build predictive models
  • Develop automated trading strategies with mentors
  • Learn the research process on a team

What they ask for

Required

  • Strong programming and/or quantitative analysis
  • Statistics, mathematics or ML
  • Graduating in 2027
  • Interest in working in Hong Kong or Shanghai
  • Reliable availability
Education
Strong undergraduate or graduate programme in a technical field
Experience
Final-year students graduating 2027
Languages and tools
  • Python
  • C++

How to prepare

  • Build a small signal research pipeline in Python with honest out-of-sample tests
  • Learn C++ basics and write a short performance-sensitive program
  • Revise statistics, regression and probability
  • Read about market mechanics and order books

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Jump Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on Jump Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Jump Trading and doesn’t handle applications.

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