Our client is a data-driven analytics organisation specialising in predictive modelling within the sports sector. They are seeking a Quantitative Analyst to join their modelling team, focusing on developing statistical models and delivering data-led insights.

This role centres on modelling within a major global sport, with opportunities to contribute to research across additional sports and analytical projects.

Key Responsibilities

• Develop and refine predictive models for pre-event and in-play scenarios
• Perform statistical analysis and hypothesis testing using large datasets
• Identify enhancements and research opportunities within existing models
• Maintain and improve mathematical libraries and modelling tools
• Support the delivery of reliable predictive outputs for commercial applications
• Communicate analytical findings to technical and non-technical audiences
• Participate in peer reviews, research initiatives, and continuous improvement
• Engage in ongoing professional development and knowledge sharing

Required Skills & Experience

• MSc in Statistics, Mathematics, Data Science, or a related quantitative discipline
• (PhD or equivalent experience advantageous)
• Strong background in probabilistic and statistical modelling
• Proficiency in Python, R, or another high-level programming language
• Experience working with complex datasets and presenting insights
• Ability to explain technical concepts clearly
• Demonstrated interest in applied modelling or analytics
• Right to work in the UK

Desirable Experience

• Interest in sport and performance analytics
• Understanding of market pricing or forecasting models
• Knowledge of Bayesian methods, machine learning, or advanced statistical techniques
• Experience with optimisation methods or automated decision systems
• Familiarity with databases (SQL or NoSQL)
• Experience with additional programming languages

What’s on Offer

• Research-focused and collaborative environment
• Opportunity to take models from concept through deployment
• Ongoing professional development and learning support
• Competitive salary and benefits