Quantitative Analyst Mid-Senior
Quantitative Analyst Mid-Senior
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Job Description
At Football Radar our mission is to be the worldleading provider of football analytics. For over a decade we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the agility of a startup with the stability of an established business weve created an environment where innovation and longterm success go hand in hand.
About The Role
As a Quantitative Analyst on our prediction team you will use our extensive datasets to enhance existing predictive models research new methods and turn your insights into productionready solutions. This research will involve a mix of wellexecuted analyses and innovative modelling to solve unique challenges in football analytics where traditional methods often need to be adapted or reinvented. To achieve this you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants developers and analysts to combine technical expertise with football knowledge.
You will be based at our London office at 1 Craven Hill London W2 3EN with the option to work from home one day a week. While we are open to flexible working hours to help you avoid rush hour we value inperson collaboration and learning opportunities so we are not considering fully remote candidates at this time.
Requirements
We are looking for smart ambitious people who enjoy solving challenging problems and are able to make pragmatic decisions in a dynamic environment. More specifically you should have:
3 years of experience applying predictive modelling machine learning and probability theory preferably in sports or gaming/betting industries
Familiarity with techniques such as Monte Carlo simulation Bayesian modelling mixed effects models Kalman filters GLMs and time series forecasting. While expertise in every area isnt expected you should have a broad awareness of available techniques and tools and understand the tradeoffs of different approaches
Strong Programming skills ideally in Python
Knowledge of SQL and relational databases
Experience in exploring new datasets identifying data quality issues and handling imperfect data effectively
An excellent candidate will also:
Understand and apply expected value and utility principles both in evaluating betting scenarios and in prioritising projects or analyses
Have a practical approach to problemsolving balancing attention to detail with the ability to deliver MVPs quickly
Be able to deliver projects independently making informed and justifiable decisions while also contributing effectively as part of a team
Be able to communicate complex models and analyses clearly to both technical and nontechnical audiences
Have an interest in football and sports analytics
What We Offer
Half yearly bonus opportunities based on company performance
33 days holiday (including bank holidays)
Competitive contribution matched pensions
Health and wellbeing 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 fiveaside game amongst colleagues
Required Experience:
IC
Employment Type
Full-Time
