Quantitative Analyst, Sports

Job Description

As a Quantitative Analyst, you will utilise your analytical and technical skills to develop probabilistic models that power real‑time betting markets.

The Quantitative Analysis department harnesses data‑driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.

You will collaborate closely with data scientists, traders, and software developers to create and refine models. This position requires a strong passion for sports, alongside analytical and technical skills, and plays a vital role in enhancing our betting strategies and delivering competitive options to our customers.

This role is eligible for inclusion in the company’s hybrid working from home policy.

• Bachelor’s Degree in a quantitative discipline, such as Mathematics, Computer Science or Statistics, or relevant industry experience.
• Strong interest in and knowledge of sports and the gambling industry.
• Detailed understanding of probability and statistics relevant to sports betting.
• Commercial experience in programming languages and databases, such as C#, Go, R, Python, and SQL.
• Experience with machine learning techniques.
• Proficiency in Windows and Microsoft Office Suite.
• Familiar optimising models for both accuracy and computational efficiency.
• Strong verbal and written communication skills.

• Building and maintaining pricing algorithms used in sports betting models.
• Analysing data to quantify and refine pricing methodologies.
• Optimising model performance for both accuracy and computational efficiency.
• Developing and supporting technical solutions.
• Identifying and addressing bugs that are causing errors or problems within models.
• Managing code versions using source control systems, ensuring proper documentation and version control.
• Collaborating with Trading teams to incorporate domain expertise into mathematical models.
• Working with development teams to ensure alignment with technical solutions.
• Supporting peer reviews and quality assurance activities.

At bet
365, 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. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.