Описание
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 performance to identify and improve sources of edge. Take ownership of models from initial research through to production and live trading. Present research, results and recommendations clearly to the CIO and trading team.
About You 3+ years' experience building predictive models specifically within sports betting, sports trading or a closely related quantitative sports environment. Proven experience developing models that have been used to price or trade sports markets. Strong Python skills, including N
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