Quantitative Analyst, Sports

Bet365 Company

Stoke-on-Trent

Hybrid

GBP 70,000 - 90,000

Full time

14 days+
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Job summary

bet365 is seeking a Quantitative Analyst to shape real-time betting markets by turning complex data into high-precision probabilistic models. You will work closely with Data Scientists, Traders, and Software Developers to refine pricing frameworks and drive next-generation betting experiences.

This hybrid role offers flexible work arrangements. You will build and optimize pricing algorithms, analyse large datasets, and apply machine learning techniques to improve model accuracy and efficiency.

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.

Responsibilities

  • 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.

Skills

Quantitative degree
Sports betting knowledge
Probability & statistics
Data analysis
Machine learning
Model optimization

Education

Quantitative degree (Math/CS/Stats)

Tools

C#
Go
R
Python
SQL

Job description

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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