Senior quant analyst - sports

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

Job summary

An established industry player is seeking a Senior Quantitative Analyst to join their specialized team in London. This role focuses on sports modeling and Bet Builders, contributing to market expansion through innovative solutions. The ideal candidate will possess over three years of experience in the sports betting industry, with strong proficiency in C# and Python. You will develop advanced models leveraging machine learning and AI, collaborating closely with trading and engineering teams. If you are passionate about quantitative innovation in sports, this opportunity offers a chance to make a significant impact in a dynamic environment.

Qualifications

• 3+ years in sports betting with a focus on quantitative innovation.
• Expertise in machine learning and strong coding abilities.

Responsibilities

• Develop advanced models using machine learning and AI.
• Code algorithms in C# and Python for data analysis.

Skills

C#

Python

Machine Learning

AI

Quantitative Modeling

Data Analysis

Education

Degree in Mathematics

Degree in STEM field

Job description

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Note: 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

Industry: Sports betting

Work Arrangement: 2 days onsite, 3 days WFH

Harrington Starr is proud to partner with one of the top sports betting firms in London. This established organization is known for developing proprietary models and maintaining strong internal pricing capabilities. Their small, specialized quant team focuses on pricing, data science, and sports modeling across multiple sports.

About the Role

The Senior Quantitative Analyst will report to the Head of Quant and focus on sports modeling and Bet Builders, helping shape market expansion through innovative solutions.

Key Responsibilities:

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

Candidate Requirements:

1. Experience: 3+ years in sports betting with a focus on quantitative innovation.
2. Skills: Expertise in machine learning, AI, and strong coding abilities in C# and Python.
3. Education: A good degree in Mathematics or a STEM field is preferred.
4. Knowledge: Deep understanding of sports trading and quantitative modeling.