Quantitative Analyst, Sports

We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling and gaming. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.

Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

Job Description

Shape real-time betting markets as a Quantitative Analyst, turning complex data into high-precision probabilistic models.

The Quantitative Analysis department designs, develops, and maintains sophisticated mathematical models to deliver accurate pricing across complex sports betting products.

As a Quantitative Analyst, this position collaborates closely with Data Scientists, Traders, and Software Developers to refine probabilistic pricing frameworks. We look for analytical minds ready to tackle technical challenges and shape next-generation betting experiences.

This role is eligible for inclusion in our hybrid work from home policy.

Qualifications

• Degree in a quantitative discipline such as Mathematics, Computer Science, or Statistics
• Proven passion for sports and online betting markets
• Deep understanding of probability and statistics relevant to sports forecasting
• Commercial programming background in languages such as C#, Go, R, Python, or SQL
• Track record of analysing large-scale datasets within sports analytics
• Practical application of machine learning techniques
• Advanced capability in optimising mathematical models for accuracy and computational efficiency

Additional Information

• Builds and maintains pricing algorithms used in sports betting models
• Analyses data to quantify and refine pricing methodologies
• Optimises model performance for both accuracy and computational efficiency
• Develops and supports technical solutions owned by the department
• Identifies and resolves bugs affecting model accuracy
• Manages code versions using source control systems while ensuring thorough documentation
• Collaborates with Trading teams to incorporate domain expertise into mathematical models

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.

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