Quant jobs / Jump Trading
Campus Quantitative Researcher (M1/M2 Intern)
A research internship at Jump built for French-school students who must complete an M1 or M2 placement. It starts with a mentored project, then training and team rotations.
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.
- Complete a research project tailored to your studies with a mentor
- Train in ML, C++, statistics and market mechanics
- Rotate through trading teams on projects
- Learn the signal-generation research process
What they ask for
Required
- Strong programming and/or quantitative analysis
- Statistics, mathematics or machine learning
- Drive to learn quickly
- Reliable availability
- Education
- M1/M2 student at a French school that requires a research internship
- Experience
- Students; no finance knowledge needed
- 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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