At SIG 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.