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    <title>Sports Betting Quantitative Researcher - ABL Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/sports-betting-quantitative-researcher-abl-recruitment--695887a4-5296-4e9c-a21b-69ccdb846308</link>
    <description>RSS feed for Sports Betting Quantitative Researcher at ABL Recruitment.</description>
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    <lastBuildDate>Tue, 13 Oct 2026 17:53:25 GMT</lastBuildDate>
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      <title>Sports Betting Quantitative Researcher - ABL Recruitment</title>
      <link>https://jobs.co.uk/job/sports-betting-quantitative-researcher-abl-recruitment--695887a4-5296-4e9c-a21b-69ccdb846308</link>
      <guid>https://jobs.co.uk/job/sports-betting-quantitative-researcher-abl-recruitment--695887a4-5296-4e9c-a21b-69ccdb846308</guid>
      <pubDate>Tue, 13 Oct 2026 11:51:54 GMT</pubDate>
      <description>Location: London | Salary: 80000.00-80000.00 Annual | Type: Permanent | 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...</description>
      <category>Permanent</category>
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