Quant jobs / Jane Street

Quantitative Researcher Internship

A summer internship working with Jane Street's quantitative researchers on finding market signals and building models. It includes classes on markets and trading plus mentored project work.

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.

Explore a large dataset for predictive signals
Design experiments and generate datasets
Build and test models using linear methods through to deep learning
Follow the path from an idea to a productionised signal

What they ask for

Required

Logical and mathematical thinking
Strong Python programming
Curiosity and willingness to learn
Clear communication
English fluency

Preferred

Data science or machine learning experience
Research experience

Education: Current undergraduate or graduate students, though graduates changing career are welcome.
Experience: Students or recent graduates
Languages and tools: Python

How to prepare

Work through time series analysis and feature engineering on a public financial dataset
Practise statistics and probability puzzles
Build a small backtest and check it for overfitting
Learn the basics of how markets and market-making work

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 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.