Quantitative Trader Internship
A summer internship learning quantitative trading with mentors, through projects, classes and mock trading sessions. Interns pick one elective, such as ML, algorithmic trading or trading scenarios.
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.
- Analyse a new or existing dataset
- Train a predictive model or simulate a strategy
- Write a tool used in production
- Take part in team mock trading sessions and strategy recaps
What they ask for
Required
- Strong quantitative thinking
- Clear written and spoken communication
- Team working
- Willingness to ask questions and learn
Preferred
- General programming experience
- Education
- No specific degree or major required.
- Experience
- Students; no experience required
- Languages and tools
How to prepare
- Practise mental arithmetic, probability and expected value problems
- Play market-making style games and keep a record of your decisions
- Learn how limit order books work
- Write a simple strategy in Python against simulated data
What to study
- Probability, Statistics and Financial Data
- Market Microstructure and Execution
- Financial Instruments, Markets and Conventions
- Python and Data Primer
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 Jane Street’s site before applying: requirements, location and pay can change after we check them.
View the posting on Jane Street’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Jane Street and doesn’t handle applications.