Quantitative Research Internship: Summer 2027
A 10-week internship for PhD and research-master's students working alongside the quant research group. You tackle a real algorithmic trading problem with mentors.
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.
- Learn the firm's proprietary data and modelling approaches
- Work on a real algorithmic trading problem
- Test strategy ideas in trading games
- Attend classes taught by senior traders and researchers
What they ask for
Required
- PhD or research master's in a quantitative field
- Penultimate or final year
- Mathematical modelling of data
- Probability and statistics
- Clear communication
- Education
- PhD (penultimate or final year) or research master's in a quantitative field such as maths, physics, statistics, EE or CS
- Experience
- Class of 2027 or 2028 research students
How to prepare
- Run a signal study on public data with robust validation
- Practise probability and statistics at research level
- Revise numerical optimisation
- Write reproducible research code in Python
What to study
- Probability, Statistics and Financial Data
- Quantitative Research, Data and Backtesting
- Financial Machine Learning
- Linear Algebra, Optimisation and Numerical Methods
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.