Quantitative Analyst
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-28
Listing for:
Oakwell Hampton Group
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Scientist, Mathematics, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 scenarios
- Perform statistical analysis and hypothesis testing using large datasets
- Identify enhancements and research opportunities within existing models
- Maintain and improve mathematical libraries and modelling tools
- Support the delivery of reliable predictive outputs for commercial applications
- Communicate analytical findings to technical and non-technical audiences
- Participate in peer reviews, research initiatives, and continuous improvement
- Engage in ongoing professional development and knowledge sharing
- MSc in Statistics, Mathematics, Data Science, or a related quantitative discipline
- PhD or equivalent experience advantageous
- Strong background in probabilistic and statistical modelling
- Proficiency in Python, R, or another high-level programming language
- Experience working with complex datasets and presenting insights
- Ability to explain technical concepts clearly
- Demonstrated interest in applied modelling or analytics
- Right to work in the UK
- Interest in sport and performance analytics
- Understanding of market pricing or forecasting models
- Knowledge of Bayesian methods, machine learning, or advanced statistical techniques
- Experience with optimisation methods or automated decision systems
- Familiarity with databases (SQL or No
SQL) - Experience with additional programming languages
- Research-focused and collaborative environment
- Opportunity to take models from concept through deployment
- Ongoing professional development and learning support
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