At Susquehanna Sports, our 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, you will be part of a group that is passionate about mathematics, gaming, and technology.

In this role, you will

• 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

• PhD or Master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
• Solid, analytical problem-solving skills
• Excellent logical reasoning
• Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
• Experience in writing code to process and analyze large sets of data
• 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-LM1