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Campus Quantitative Researcher, UG/MS (Intern)

A 10-week quant internship for undergraduate and masters students at Jump. You train in research, trading and development, then work with trading teams.

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 signal research, ML, market mechanics, C++ and Python
  • Build predictive models and strategies with other interns
  • Work on mentored projects with trading teams
  • Get daily one-to-one mentoring

What they ask for

Required

  • Strong computer science, ML, statistics and maths
  • Competitive drive
  • Programming experience
  • Appetite for risk-taking
  • Interest in markets
Education
Undergraduate or masters student in a technical field
Experience
Students
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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