Quantitative Sports Researcher – Graduate Hire
A graduate research role in a sports analytics team building forecasting models that support pricing in sports betting markets.
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 sports outcomes and test ideas on industry data
- Write programs to implement and simulate models
- Discuss results with researchers, traders and technologists
- Maintain models as new data arrives
What they ask for
Required
- Master's or PhD in a quantitative field
- Analytical problem solving
- Practical programming
- Sports analytics project experience
- Knowledge of US and world sports
- Communication
- Education
- Graduating master's or PhD students in a quantitative field
- Experience
- New graduates with sports analytics projects
- Markets
- prediction-markets
How to prepare
- Build and calibrate a simulation model for a sport
- Compare your probabilities with betting-market odds and explain differences
- Revise Bayesian models and hierarchical estimation
- Show a public analytics project in your portfolio
What to study
- Probability, Statistics and Financial Data
- Python and Data Primer
- Quantitative Research, Data and Backtesting
- 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.