| Overview
At SIG, 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, 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
What we're looking for
Graduating PhD students or postdoctoral researchers 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.
For more information, please contact Emily Selzam at Emily.Selzam@sig.com
We donât post salary ranges externally so any salary estimate you see listed on a third party website was not provided by SIG and may not be accurate.
SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is hired by SIG. |
finished (2019/08/23, finished 2021/01/09)