About Football Radar
For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients.
We try to combine the freedom and flexibility of working in a start-up with the stability of an established business, giving our people the autonomy to act and the support to succeed.
About the Role
You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to have good cricket knowledge for this role, as the role will require you to build models that capture many of the subtleties and intricacies of the sport.
We are happy to consider both junior and senior candidates for this role, and will adapt the responsibilities and salary accordingly. More experienced candidates will have the opportunity to take on more responsibility, lead projects, and help set the direction of our research.
This role is based at our London office, at 106 Kensington High Street, London, W8 4SG. We mostly work in person: you’ll have the option to work from home one day a week, and we’re flexible about the exact hours you work each day. But please note we are not considering remote candidates at the moment.
This role may be for you if you have:
Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible
A strong understanding of cricket: not only the game's nuances, but also the key players and leagues around the world
Familiarity with a broad range of statistical techniques, such as regression modelling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, ensemble modelling, and time series forecasting
Interest in betting/prediction problems
A flair for communicating statistical analyses to both technical and non-technical audiences
Experience with SQL and relational databases
Programming experience with Python
Stronger and more senior candidates will also have:
Prior experience of sports modelling, ideally within the betting industry
A good understanding of the mechanics of betting markets
Project management skills, including an ability to make sensible value judgements about where the team should spend time
Experience producing readable, testable and maintainable code on a collaborative codebase
A good knowledge of AWS (or a similar cloud platform)
What we offer
Half yearly bonus opportunities based on company performance
33 days holiday (including bank holidays)
Competitive contribution matched pensions
Health and well-being benefits:
Private Medical Insurance (including excess coverage)
Health Cash Plan via Bupa
Subsidised gym membership
Daily subsidised office meals
Learning and development budgets to invest in your personal growth
Company and team led engagement activities throughout the year
Fortnightly five-a-side football game amongst colleagues
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