Quantitative Analyst

London £60,000-£75,000 Permanent

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