At a Glance
- Tasks: Develop statistical models to predict football outcomes and solve complex sporting questions.
- Company: Exciting sports betting hedge fund in London with a focus on innovation.
- Benefits: Competitive salary, career progression, and a collaborative work environment.
- Other info: Work with cutting-edge technology and some of the brightest minds in the industry.
- Why this job: Join a skilled team and make an impact in the dynamic world of sports modelling.
- Qualifications: Advanced degree in a quantitative field and 3+ years in football betting.
The predicted salary is between 80000 - 110000 £ per year.
Job Description Senior Quantitative Researcher – Sports betting Hedge fund Football – London*Please note this role cannot sponsor.
Please do not apply if you are seeking sponsorship*Job Summary Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company with office in London.
You will be developing statistical models to compute the probabilities of outcomes in football.
Sports modelling is their core expertise and the company is structuring the company around creating the best possible technical and cultural environment to enable you to rapidly explore and test alternative models.
You will join a highly skilled and experienced team answering a variety of complex sporting questions.
You will work on building probabilistic models, the quality and evolution of which are central to the company’s success.
You will find innovative ways of extracting information from various sporting and market data sources.
Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems.
As Quantitative Researcher you will need: Advanced degree in Mathematics, Statistics, Physics, Computer Science or a related quantitative discipline3+years experience in football within sports betting industry Proven experience building profitable betting models with real-money results — not just impressive backtests.
Deep expertise across probability, statistics and ML, with strong instincts around leakage, overfitting, calibration, uncertainty and realistic validation.
Strong Python + engineering skills — enough to build pipelines, connect APIs, deploy, monitor and debug models end-to-end.
A genuinely AI-native workflow, with hands-on experience using LLMs and coding agents to accelerate research, development and debugging.
An owner mentality — you care about whether the strategy works, not just whether the model works.
The Opportunity Opportunities to progress your quantitative developer career.
Working in GLMs, BMMs, Kalman filters, MCMC and the True Skill Ranking system Working with some of the brightest Quants within the industry.
Job Information Industry Technology Salary 80-110k Date Opened 09/14/2026 Job Type Full time Tech Stack Python City London State/Province Greater London Country United Kingdom Zip/Postal Code EC1A
Football Quantitative Researcher in London employer: Venture Up
Venture Up offers an exceptional work environment for Quantitative Researchers in the vibrant city of Oxford, where innovation meets collaboration. Employees benefit from a culture that encourages continuous learning and professional growth, alongside competitive compensation and access to cutting-edge technology. Joining this forward-thinking hedge fund means being part of a team that values creativity and excellence in high-frequency trading.
