Quantitative Sports Researcher – Graduate Hire

Overview At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team as a Quantitative Researcher, you will be part of a group that is passionate about mathematics, gaming, and technology. What you'll do: 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 What we’re looking for Graduating Master's or PhD students in a quantitatively-driven field Solid, analytical problem-solving skills and excellent logical reasoning Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood Strong, practical computer programing skills Demonstrated experience working on sports analytics projects Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket) Intermittent international travel may be required About Susquehanna Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together. If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-CR1 #LI-Onsite