Overview
In this role you develop probabilistic models to estimate football outcomes within a sports betting hedge fund. You’ll join a skilled team and advance modelling quality, exploring new approaches across diverse data sources. You’ll design and validate models that impact real-money decisions and seek innovative ways to extract value from data. The role blends deep quantitative work with an AI-native workflow to accelerate research and deployment. This is a hands-on position focused on practical impact and growth.
Responsibilities
- Develop probabilistic models to forecast football outcomes
- Build and maintain end-to-end modelling pipelines and deployments
- Extract insights from diverse sporting and market data sources
- Research and test alternative modelling approaches to improve predictive performance
- Validate models with realistic backtesting and uncertainty calibration
- Collaborate with a high-caliber quantitative team to solve complex problems
Key requirements
- Advanced degree in Mathematics, Statistics, Physics, Computer Science or related quantitative discipline
- 3+ years of football experience in the sports betting industry
- Proven track record of profitable real-money betting models
- Strong foundations in probability, statistics and ML
- Strong Python and engineering skills to build pipelines, APIs, deploy, monitor and debug models end-to-end
- Experience with AI-native workflow, LLMs, and coding agents to accelerate research
- Owner mentality and focus on model-to-strategy effectiveness
- ownership
- problem-solving
- collaboration
- Python
- probability
- statistics
…
