Junior Quantitative Researcher - Sports Betting/ London/ 75K

A leading sports betting fund is seeking a Junior Quantitative Researcher to join its expanding quantitative research team. This is an exciting opportunity for an analytically minded individual with a passion for sports modelling, data science, and statistics to contribute to cutting-edge research and model development within a high-performing environment. Key Responsibilities • Assist senior quantitative researchers in delivering research and model development projects. • Support clients and internal teams by: • Developing, maintaining, and improving the mathematical libraries that power predictive models and analytical tools. • Building and maintaining software systems that deliver model outputs into production. • Perform statistical analysis of datasets, test hypotheses, and communicate findings effectively to key stakeholders. • Contribute to the ongoing enhancement of core programming libraries. • Participate in at least one professional development event annually—such as a conference, workshop, or networking event—focused on areas like sports analytics, statistics, machine learning, or gambling. Skills & Experience Required • MSc in Statistics , Data Science , Mathematics , or another quantitative discipline (e.g., Computer Science, Engineering, Finance) with a strong statistical component. • Prior experience in a role involving significant statistical analysis, demonstrating skills beyond academic study. • Programming experience and a willingness to learn and work in R . • Demonstrated passion for sports modelling—through personal projects, academic research, or independent analyses. • Commitment to continuous learning and professional growth. • Curiosity and enthusiasm for exploring new technologies and programming languages. • Eligibility to work in the UK . Preferred • Strong interest in horse racing , supported by prior modelling or data analysis projects. • Understanding of sports betting markets . • Familiarity with statistical and machine learning methods (e.g., GBM, Torch, CNN, LSTM, NLP, GNN). • Experience with additional programming languages (e.g., Python, C++, Julia). • Working knowledge of database systems (e.g., SQL, MongoDB, Redis, Postgres). • Experience with version control , code reviews , and merge requests . • Familiarity with CI/CD pipelines and test-driven development (TDD) .