Quantitative Analyst (Mid-Senior)

Football Radar; London; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Quantitative Analyst, where you'll leverage extensive datasets to enhance predictive models in football analytics. This role offers the unique opportunity to combine your analytical skills with a passion for sports, working collaboratively with a talented team. You'll tackle complex challenges, develop innovative solutions, and contribute to the success of our clients in the betting industry. Enjoy a dynamic work environment with flexible hours, a range of health benefits, and opportunities for personal growth. If you're ready to make an impact in sports analytics, this position is perfect for you!

Benefits

Half yearly bonus opportunities

33 days holiday

Competitive pensions

Private Medical Insurance

Health Cash Plan via Bupa

Subsidised gym membership

Daily subsidised office meals

Learning and development budgets

Company engagement activities

Fortnightly five-a-side game

Qualifications

• 3+ years of experience in predictive modelling and machine learning, preferably in sports.
• Strong programming skills in Python and knowledge of SQL databases.

Responsibilities

• Enhance predictive models and research new methods for football analytics.
• Collaborate with a team to develop insights into production-ready solutions.

Skills

Predictive Modelling

Machine Learning

Probability Theory

Programming in Python

Data Quality Assessment

Statistical Analysis

Tools

SQL

Monte Carlo Simulation

Bayesian Modelling

Kalman Filters

GLMs

Time Series Forecasting

Job description

At Football Radar, our mission is to be the world-leading 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 start-up with the stability of an established business, we’ve created an environment where innovation and long-term 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 production-ready solutions. This research will involve a mix of well-executed 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 in-person 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 isn't expected, you should have a broad awareness of available techniques and tools, and understand the trade-offs 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 problem-solving, 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 non-technical 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 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 game amongst colleagues