Quant jobs / Jump Trading
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
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
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
- Quantitative Research, Data and Backtesting
- Modern C++ for Quantitative Finance
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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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