Quantitative Analyst

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.

If you think you are the right match for the following opportunity, apply after reading the complete description.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
• Interest in sport and performance analytics
• Understanding xwzovoh 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

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