Senior quant analyst - sports

JR United Kingdom; Slough; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading sports betting firm seeks a Senior Quantitative Analyst to join their quant team. You will develop innovative solutions for sports modelling, contributing to market expansion and engaging in advanced data analysis. Applicants must have significant experience in sports betting and strong programming skills in C# and Python.

Qualifications

• 3+ years in sports betting focused on quant innovation.
• Expertise in coding algorithms with C# and Python.
• Deep understanding of sports trading and quantitative modelling.

Responsibilities

• Develop advanced models using machine learning and AI.
• Code algorithms in C# with Python for data analysis.
• Collaborate with trading, analytics, and engineering teams.

Skills

Machine learning

AI expertise

C# coding

Python coding

Education

Good degree in Mathematics or a STEM field

Job description

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*This role requires prior experience in the sports betting industry and strong proficiency in C#. Candidates without this background will unfortunately not be considered at this time.*

Senior Quantitative Analyst

Sports betting

2 days onsite, 3 days wfh

Harrington Starr are proud to partner with one of top sports betting firms in London. This is an established organisation, known for developing proprietary models and maintaining strong internal pricing capabilities. Their small, specialist quant team drives pricing, data science, and sports modelling across multiple sports.

About the Role

A Senior Quant Analyst who will report to the Head of Quant, and focus on sports modelling and Bet Builders, shaping market expansion through innovative solutions.

Key Responsibilities:

• Develop advanced models using machine learning and AI.
• Code algorithms in C# with Python for data analysis.
• Collaborate with trading, analytics, and engineering teams.

Candidate Requirements

• Experience: 3+ years in sports betting with a focus on quant innovation.
• Skills: Machine learning, AI expertise, and strong C# & Python coding ability.
• Education: Good degree in Mathematics or a STEM field preferred.
• Knowledge: Deep understanding of sports trading and quantitative modelling.