Quantitative Strategy Developer | Sports | Experienced

Overview

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.