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Quantitative Researcher
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Quantitative Researcher
Cricket Quantitative Researcher | Sports Betting Hedge Fund | London or Leeds
Python • TensorFlow • Statistics • Sports Modelling
Please note: This role cannot offer visa sponsorship. Applications requiring sponsorship cannot be considered.
We're partnering with a cutting-edge sports betting hedge fund in London or Leeds that's building some of the most sophisticated predictive models in the industry. If you're passionate about statistics, machine learning, and cricket analytics, this is an opportunity to work on high-impact research that directly drives trading performance.
What You'll Be Doing
- Develop and refine probabilistic models to predict sporting outcomes
- Extract insights from large-scale sports and market datasets
- Research, test and deploy innovative modelling approaches
- Work alongside elite quants, researchers and traders solving complex real-world problems
- Contribute to a culture built around experimentation, data-driven decision making and continuous improvement
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What We're Looking For
- 2+ years' experience in the sports betting industry
- Strong academic background in Statistics, Mathematics or a related quantitative field
- Experience within electronic trading environments
- Advanced Python skills (NumPy, Pandas, TensorFlow)
- Excellent academic track record (top grades throughout education)
- Kaggle profile or demonstrable hands-on modelling/research experience
- Interest or expertise in cricket is highly desirable
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Exposure To
- Generalised Linear Models (GLMs)
- Bayesian Modelling Methods (BMMs)
- Kalman Filters
- MCMC Techniques
- TrueSkill Ranking Systems
- Advanced sports forecasting and pricing models
Why Join?
- ✅ Work on some of the industry's most challenging quantitative problems
- ✅ Collaborate with exceptional quants and researchers
- ✅ Significant ownership and impact on live trading strategies
- ✅ Clear progression opportunities within a fast-growing quantitative team
- ✅ Highly technical, research-driven environment
If you're a quantitatively-minded researcher with a passion for sports modelling and cricket, we'd love to hear from you.
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