Quantitative Sports Researcher – Graduate Hire
On-site
Core
Build statistical forecasting models for sports betting liquidity and trading strategies using real industry data.
Role type
Graduate quantitative researcher (sports analytics)
Builds
Statistical forecasting models and trading strategies for the sports betting industry
Domain
Sports betting, quantitative finance, statistical modeling
Deliverable
production ML models
Required skills
Statistical modeling, empirical testing, programming, sports analytics, US and world sports knowledge
Preferred skills
Machine learning, advanced quantitative research
Technologies
Python, R, SQL, Pandas, NumPy, Scikit-learn
Responsibilities
Develop statistical forecasting models, test ideas with industry data, write programs to implement models and simulate outcomes, collaborate with researchers and traders
Seniority
Graduate hire (Master's or PhD)
