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 scenariosPerform statistical analysis and hypothesis testing using large datasetsIdentify enhancements and research opportunities within existing modelsMaintain and improve mathematical libraries and modelling toolsSupport the delivery of reliable predictive outputs for commercial applicationsCommunicate analytical findings to technical and non-technical audiencesParticipate in peer reviews, research initiatives, and continuous improvementEngage in ongoing professional development and knowledge sharing Required Skills & Experience MSc in Statistics, Mathematics, Data Science, or a related quantitative disciplinePhD or equivalent experience advantageousStrong background in probabilistic and statistical modellingProficiency in Python, R, or another high-level programming languageExperience working with complex datasets and presenting insightsAbility to explain technical concepts clearlyDemonstrated interest in applied modelling or analyticsRight to work in the UKInterest in sport and performance analyticsUnderstanding of market pricing or forecasting modelsKnowledge of Bayesian methods, machine learning, or advanced statistical techniquesExperience with optimisation methods or automated decision systemsFamiliarity with databases (SQL or NoSQL)Experience with additional programming languages What’s on Offer Research-focused and collaborative environmentOpportunity to take models from concept through deploymentOngoing professional development and learning support #J-18808-Ljbffr