Quantitative Analyst, Sports

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.
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

Skills
Python, C#, SQL, Machine Learning

Employment type
Full-time

Work arrangement
Hybrid