Junior Quantitative Researcher - Sports Betting/ London/ $ 75K+

Job description

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) .

Extra information

Status

Closed

Education Level

Secondary School

Location

London

Type of Contract

Full-time jobs

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English