Sports quant analyst - betting syndicate build out from an established firm London
Compensation: Competitive, with flexibility for exceptional domain expertise
Hybrid working - potential to be remote outside of UK
I'm looking for a quant analyst to join this growing quant & data science team with a strong background in mathematical modeling and statistics, ideally with expertise in sports models. This role offers the freedom to build models from the ground up, shaping the direction of this firms sports analytics.
Developing fundamental models for sports, for example : American football, baseball, tennis, and ice hockey
Pricing same-game parlays with a focus on rigorous statistical methods
Helping shape proprietary betting strategies, bet builders, and sportsbook feeds
Strong academic background (Bachelor’s/Master’s; PhD is a plus but not required)
Deep domain knowledge in sports (American football/baseball is a bonus!)
Experience building models from first principles, rather than tweaking existing frameworks
Proficiency in R, Python, or other relevant programming languages
Creative autonomy – take ownership of your sport and drive innovation
A growing quant team with long-term ambitions (20-25 people planned)
Opportunity to be involved in major industry shifts, including expansion into regulated Asian markets
This is a high-impact role where the right candidate will shape the direction of their sports models.