Quantitative Systematic Trading Internship: Summer 2027
A 10-week internship in the hybrid trading, technology and research role. You work on a real algorithmic trading problem with senior traders and researchers.
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.
- Study the firm's proprietary data and modelling methods
- Work on a real algorithmic trading problem
- Test strategy ideas in trading simulations
- Learn from classes run by traders and researchers
What they ask for
Required
- Research-minded
- Code for large datasets
- Mathematical modelling
- Clear communication
- Quantitative studies
- Education
- Quantitative degree student; no finance background needed
- Experience
- Students in a quantitative programme
How to prepare
- Do a small signal study with public data and honest backtesting
- Practise probability and statistics problems
- Write clean Python for data analysis
- Read about game theory and decision-making
What to study
- Quantitative Research, Data and Backtesting
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
- Financial Machine Learning
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 Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.
View the posting on Susquehanna International Group (SIG)’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Susquehanna International Group (SIG) and doesn’t handle applications.