Sports Betting Quantitative Researcher

About the role

Build, validate, and improve predictive models, trading signals, and strategies for sports betting markets, taking them from research and backtesting into live trading. Analyze trading performance, refine sources of edge, and communicate research findings and recommendations to the CIO and trading team. Requires at least three years of experience building predictive models in sports betting, sports trading, or a closely related quantitative sports environment, with evidence that models have been used to price or trade sports markets. Candidates should have strong Python, SQL, machine learning, probability, betting-market, and research-validation skills, plus a degree in a quantitative discipline; a master's or PhD is advantageous but not essential.