Junior Quantitative Researcher - Sports Betting/ London/ 75K
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Added before 7 Days
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
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) .
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) .
Job number 3443055
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