Sports Betting Quantitative Researcher

An exciting opportunity to join a high-performance quantitative trading business developing predictive models and systematic strategies across sports betting markets. Job title: Sports Betting Quantitative Researcher Location: Central London / Hybrid (4days on site/ 1 day WFH) Job Type: Full-time, Permanent Salary: £80,000+ base salary + profit-share bonus The Opportunity We are recruiting on behalf of a high-performance quantitative sports trading business looking for a Sports Betting Quantitative Researcher with proven experience building predictive models within sports betting. You''ll develop and improve models and trading strategies across sports markets, working closely with experienced researchers, engineers, traders and the CIO. This is an end-to-end role where your models can move from research and backtesting into live trading. Key Responsibilities Build and improve predictive models for sports betting markets using TensorFlow/Keras, PyTorch or similar. Develop features from historical match data, player performance, Elo/rating systems, market odds and other sports data. Develop probability models and calibration techniques to improve predictive accuracy and market edge. Build trading signals, strategy parameters and position-sizing methodologies. Backtest models and strategies using realistic historical market prices, liquidity and time-aware validation. Identify and address overfitting, data leakage and look-ahead bias. Analyse live and post-trade ..... full job details .....