Intern Quant Researcher
An internship in Squarepoint's quantitative research group, researching and implementing trading ideas inside the firm's automated trading framework. Interns work on real strategy research from day one.
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.
- Research and implement trading ideas in the automated framework
- Analyse large datasets with statistical methods
- Learn market structure across exchanges and asset classes
What they ask for
Required
- Degree in maths, statistics, econometrics, financial engineering, OR, CS or physics
- Programming in C++, Java or Python
- Communication across regions
- Working under pressure
- Education
- Quantitative degree such as maths, statistics, econometrics, financial engineering, operations research, computer science or physics.
- Experience
- Students; no prior experience stated.
- Languages and tools
How to prepare
- Complete an end-to-end signal research project on public data
- Revise regression and statistical inference
- Study how exchanges differ in market structure
- Practise coding speed and clarity in Python
What to study
- Probability, Statistics and Financial Data
- Quantitative Research, Data and Backtesting
- Python for Quantitative Finance
- Market Microstructure and Execution
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 Squarepoint Capital’s site before applying: requirements, location and pay can change after we check them.
View the posting on Squarepoint Capital’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Squarepoint Capital and doesn’t handle applications.