Senior Quantitative Analyst

Harrington Starr; Greater London; On-site; GBP 100,000 - 150,000; Full time

Job summary

Harrington Starr is helping an London-based leader in B2B sports betting technology recruit a Senior Quantitative Analyst. You will develop and refine pricing and trading models, covering ~20 sports, and influence pricing decisions.

The role combines quantitative modelling with sports trading, enabling direct impact on trading strategies while collaborating with data engineering and stakeholders across the business.

Qualifications

• 3+ years' experience in a quantitative role with real modelling work.
• Strong C# and Python skills.
• Solid grounding in statistical and machine learning modelling techniques.
• A genuine interest in sport and ability to explain complex work to non-technical audiences.
• Experience in sports betting or related data domains is a plus.

Responsibilities

• Developing and refining models that predict match outcomes across multiple sports.
• Building player performance models to open up new betting markets.
• Designing risk management models to help control exposure.
• Contributing to new products, including derivatives and micro-markets.
• Working closely with data engineering to support and improve model development.
• Communicating model methodology clearly to both technical and non-technical stakeholders.

Skills

C#

Python

Statistics

Machine learning

SQL

Sports betting

Tools

SQL

Job description

London-based Senior Quantitative Analyst role with a leading B2B sports betting technology provider, developing its own pricing and trading models in-house. The role sits at the intersection of quantitative modelling and sports trading, with the opportunity to work across roughly 20 different sports and build models that directly influence pricing and trading decisions

Responsibilities

• Developing and refining models that predict match outcomes across multiple sports
• Building player performance models that open up new betting markets
• Designing risk management models to help control exposure
• Contributing to new products, including derivatives and micro-markets
• Working closely with data engineering to support and improve model development
• Communicating model methodology clearly to both technical and non-technical stakeholders
• 3+ years' experience in a quantitative role, with real modelling work delivered, not just theoretical/academic exposure
• Strong C# and Python skills
• Solid grounding in statistical and machine learning modelling techniques
• A genuine interest in sport
• Comfortable explaining complex technical work to non-technical audiences
• Sports betting industry experience, mentoring/leadership experience, or strong SQL skills all a plus, though not essential