Quantitative Researcher – Graduate: 2027
A graduate programme for PhD and research-master's graduates who develop and refine trading strategies from the trading floor. It uses probability, statistics, numerical analysis and machine learning.
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 full research cycle: framing, modelling and backtesting
- Develop and iterate on strategy models
- Move ideas into implementation and monitoring
- Join trading games and project work
What they ask for
Required
- Recent or upcoming PhD or research master's
- Probability and statistics
- Numerical analysis and optimisation
- Machine learning
- Mathematical modelling of large data
- Availability to start in June 2027
- Education
- Recent or upcoming PhD or research master's graduates, or postdocs, in a quantitative discipline
- Experience
- Recent or upcoming research graduates
How to prepare
- Do a signal study with strict out-of-sample validation
- Brush up statistical inference and regularisation
- Practise stochastic optimisation basics
- Write reproducible Python research code
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.