eFinancialCareers
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) .
To apply for this job please visit www.reed.co.uk.
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