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- Tasks: Develop advanced models for sports betting using machine learning and AI.
- Company: Join a trusted name in the betting industry with over 30 years of experience.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and collaboration.
- Why this job: Be part of a small team making a big impact in sports modelling and algorithmic solutions.
- Qualifications: 3+ years in sports betting, expertise in machine learning, and a degree in Mathematics or STEM.
- Other info: Work closely with trading, analytics, and engineering teams in a hands-on role.
The predicted salary is between 48000 - 84000 £ per year.
My client has been a trusted name in the betting industry for over 30 years. They take pride in building their own models and maintaining robust internal capabilities, without relying on external sources for pricing. The quant team plays a pivotal role in pricing, data science, and sports modelling—delivering algorithmic solutions across multiple sports. With a small team of specialists, my client values individuals who can balance data analysis, data science, and algorithmic pricing to meet diverse business needs.
My client is looking for a talented Senior Quantitative Analyst to join their small but dynamic team, reporting to the Head of Quant. This is an algorithmic quant role, focused on developing models for multiple sports and contributing to critical areas, such as:
- Bet Builders & Sports Modelling: Innovative solutions to expand market offerings.
In this hands-on role, the successful candidate will:
- Build advanced models leveraging machine learning and AI techniques.
- Code algorithms in C#, with opportunities to use Python for data analysis.
- Collaborate with stakeholders across trading, analytics, and engineering functions.
The ideal candidate will demonstrate:
- Experience: 3+ years in the sports betting industry, with the capability for long-term quant innovation.
- Skills: Expertise in machine learning and AI, with coding proficiency in C# and Python.
- Education: First-class degree in Mathematics or a STEM field preferred.
- Knowledge: Comprehensive understanding of sports trading and quantitative modelling.
Senior Sports Quantitative Analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sports Quantitative Analyst
✨Tip Number 1
Make sure to showcase your experience in the sports betting industry during any networking opportunities. Attend industry events or webinars where you can meet professionals from the field and discuss your background in quantitative analysis.
✨Tip Number 2
Brush up on your coding skills, particularly in C# and Python. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to build algorithms and models relevant to sports data.
✨Tip Number 3
Engage with the latest trends in machine learning and AI as they relate to sports modelling. Follow relevant blogs, podcasts, or research papers to stay informed and be ready to discuss innovative solutions during interviews.
✨Tip Number 4
Reach out directly to the job poster or other team members on LinkedIn. A personalised message expressing your interest in the role and highlighting your relevant skills can make a strong impression and increase your chances of being noticed.
We think you need these skills to ace Senior Sports Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the sports betting industry, particularly any roles that involved quantitative analysis or algorithmic modelling. Emphasise your coding skills in C# and Python, as well as your expertise in machine learning and AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports and quantitative analysis. Mention specific projects or achievements that demonstrate your ability to innovate in the field and how you can contribute to the company's goals.
Highlight Relevant Experience: In your application, clearly outline your relevant work experience, especially any roles that required collaboration with trading, analytics, or engineering teams. Use specific examples to illustrate your contributions and successes.
Showcase Your Educational Background: If you have a first-class degree in Mathematics or a related STEM field, make sure to highlight this prominently in your application. Discuss any relevant coursework or projects that relate to quantitative modelling or data science.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and AI techniques. Bring examples of models you've built or algorithms you've coded, especially in C# and Python, as this will demonstrate your technical proficiency.
✨Understand the Betting Industry
Familiarise yourself with the latest trends and innovations in the sports betting industry. Being able to discuss current market offerings and how your skills can contribute to expanding them will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving abilities. Practice articulating your thought process clearly, as this is crucial for a role that involves developing innovative solutions.
✨Emphasise Collaboration Skills
Since the role involves working with various stakeholders, highlight your experience in collaborative projects. Share examples of how you've successfully worked with teams across different functions, such as trading and analytics.
