Quant jobs / Jump Trading
Campus Quantitative Researcher (Intern)
A 10-week quant research internship at Jump with training and team rotations. You build models and strategies, then work with several 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 ML, market mechanics, C++ and statistics
- Build predictive models and live strategies with fellow interns
- Rotate through trading teams on mentored 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
- Strong undergraduate or graduate programme in a technical field
- 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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