Sports quant analyst

JR United Kingdom; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

A leading firm is seeking a Sports Quant Analyst to join their growing team in London. The role involves developing sports models from the ground up and collaborating with engineering teams to drive innovation in sports analytics. Ideal candidates will have a strong statistical background and programming skills, with the unique opportunity to influence cutting-edge sports betting strategies.

Benefits

Creative autonomy to drive innovation

Start-up culture within an established company

Opportunity for major industry involvement

Qualifications

• Strong academic background (Bachelor’s/Master’s; PhD is a plus).
• Experience in a reputable syndicate or quantitative team.
• Proficiency in R, Python, or other relevant programming languages.

Responsibilities

• Developing fundamental models for various sports (American football, baseball, etc.).
• Collaborating with quant engineering teams to build dashboards.
• Helping shape proprietary betting strategies and sportsbook feeds.

Skills

Mathematical modeling

Statistics

Bayesian inference

Programming in R

Programming in Python

Education

Bachelor’s/Master’s in quantitative fields

Job description

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Sports quant analyst - betting syndicate build out from an established firm

London

Compensation: Competitive, with flexibility for exceptional domain expertise

Hybrid working - potential to be remote outside of UK

I'm looking for a quant analyst to join this growing quant & data science team with a strong background in mathematical modeling and statistics, ideally with expertise in sports models. This role offers the freedom to build models from the ground up, shaping the direction of this firms sports analytics.

What You’ll Be Working On:

• Developing fundamental models for sports, for example : American football, baseball, tennis, and ice hockey
• Pricing same-game parlays with a focus on rigorous statistical methods
• Applying Bayesian inference, filtering techniques, and advanced mathematical stats
• Collaborating with quant engineering teams to build dashboards and implement models
• Driving innovation within a startup-style environment backed by an established company
• Helping shape proprietary betting strategies, bet builders, and sportsbook feeds

Who We’re Looking For:

• Strong academic background (Bachelor’s/Master’s; PhD is a plus but not required)
• Strong years of experience in a reputable syndicate or quantitative team
• Deep domain knowledge in sports (American football/baseball is a bonus!)
• Experience building models from first principles, rather than tweaking existing frameworks
• Proficiency in R, Python, or other relevant programming languages

Why Join Us?

• Creative autonomy – take ownership of your sport and drive innovation
• Start-up culture within an established company – flexibility to explore cutting-edge strategies
• A growing quant team with long-term ambitions (20-25 people planned)
• Opportunity to be involved in major industry shifts, including expansion into regulated Asian markets

This is a high-impact role where the right candidate will shape the direction of their sports models.