Sport Analytics Quant | Research & Modeling for Betting

Trading Interview; Northern (KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Susquehanna International Group (SIG) seeks a Quantitative Researcher for its Sports Analytics team. You will engage in mathematical forecasting models to support liquidity and trading strategies in sports betting, using industry data to test ideas and build simulations.

The role emphasizes interdisciplinary collaboration with researchers, traders, and technologists, requiring strong programming skills and experience in sports analytics. Intermittent international travel may be required.

Qualifications

• Must be a current graduate student pursuing a Master’s or PhD in a quantitatively driven field.
• Strong analytical problem-solving abilities and logical reasoning.
• Excellent communication skills, both listening and clear articulation.
• Strong practical programming skills.
• Experience on sports analytics projects.
• Understanding of US sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket).

Responsibilities

• Immerse yourself in sports analytics research.
• Empirically test ideas using real industry data.
• Write programs to implement models and simulate outcomes.
• Discuss and collaborate with fellow researchers, traders, and technologists.

Skills

Mathematics

Analytics

Programming

Communication

Sports knowledge

Education

Master's or PhD student in quantitative field

Tools

Python

R

C++

Job description

Susquehanna International Group (SIG) seeks a Quantitative Researcher for its Sports Analytics team. You will engage in mathematical forecasting models to support liquidity and trading strategies in sports betting, using industry data to test ideas and build simulations.

The role emphasizes interdisciplinary collaboration with researchers, traders, and technologists, requiring strong programming skills and experience in sports analytics. Intermittent international travel may be required.