Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop sports models and collaborate on innovative analytics strategies.
- Company: Join a dynamic betting syndicate backed by an established firm in London.
- Benefits: Enjoy hybrid working options and competitive compensation with flexibility for top talent.
- Why this job: Shape the future of sports analytics in a creative, start-up culture.
- Qualifications: Strong academic background and experience in quantitative analysis, especially in sports.
- Other info: Opportunity to influence major industry shifts and expand into new markets.
The predicted salary is between 43200 - 72000 £ per year.
Job Description: Sports quant analyst - betting syndicate build out from an established firm in London.
Compensation: Competitive, with flexibility for exceptional domain expertise. Hybrid working - potential to be remote outside of the 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 firm's 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. Interested? Get in touch.
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports quant analyst
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics and betting strategies. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the sports quant field. Attend relevant meetups, webinars, or conferences to connect with others who share your interests and may provide insights or referrals for opportunities at StudySmarter.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source projects related to sports analytics. This practical experience can set you apart and demonstrate your ability to build models from scratch.
✨Tip Number 4
Prepare to discuss specific sports models you've worked on or are passionate about. Being able to articulate your thought process and the statistical methods you used will impress interviewers and show your deep domain knowledge.
We think you need these skills to ace Sports quant analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in mathematical modelling and statistics, particularly in sports analytics. Include specific projects or models you've developed that demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and quantitative analysis. Mention any relevant experience with American football, baseball, or other sports, and explain how you can contribute to the firm's innovative environment.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like R and Python. Provide examples of how you've used these skills in previous roles, especially in building models from first principles.
Highlight Collaboration Experience: Since the role involves working with quant engineering teams, emphasise any past experiences where you've collaborated on projects. Discuss how you contributed to team success and drove innovation.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Mathematical Modelling Skills
Be prepared to discuss your experience with mathematical modelling and statistics. Highlight specific projects where you've built models from scratch, especially in sports analytics, as this will demonstrate your ability to contribute effectively to the team.
✨Demonstrate Domain Knowledge
Familiarise yourself with the sports mentioned in the job description, such as American football, baseball, tennis, and ice hockey. Being able to discuss recent trends or statistical insights in these sports will show your passion and understanding of the domain.
✨Prepare for Technical Questions
Expect technical questions related to Bayesian inference, filtering techniques, and programming languages like R or Python. Brush up on these topics and be ready to solve problems or explain concepts during the interview.
✨Emphasise Collaboration and Innovation
Since the role involves working with quant engineering teams, highlight your teamwork skills and any past experiences where you drove innovation. Discuss how you can contribute to a startup-style environment while being part of an established firm.
