Senior Quantitative Analyst

Betsson Group; Greater London; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading sports betting company in Greater London is seeking a Senior Quantitative Analyst to develop and maintain cutting-edge statistical models. You will play a crucial role in enhancing market offerings and driving success in sports betting. The ideal candidate will have expertise in C# and Python, a PhD or equivalent in a STEM field, and over 5 years of experience in a quantitative role. A competitive salary and benefits package are offered, along with opportunities to work on impactful projects.

Benefits

Competitive salary and benefits package

Dynamic and innovative team environment

Opportunity to work on impactful projects

Qualifications

• Proficiency in C# and Python is essential.
• Strong knowledge of statistical and machine-learning modelling techniques.
• Demonstrated ability to solve complex problems and provide justifications.
• 5+ years of experience in a quantitative role.

Responsibilities

• Develop and refine models for predicting match outcomes.
• Design and implement risk models to optimize exposure.
• Collaborate on the modernization of modelling technologies.
• Identify and collect relevant data sources for model development.

Skills

C#

Python

Statistical modelling

Machine learning

Communication

Problem-solving

Data analysis

Education

PhD, Masters, or Bachelor's degree in a STEM field

Tools

SQL

Job description

The Wow Senior Quantitative Analyst – Revolutionizing Sports Betting

Join our team and shape the future of sports betting! We’re seeking a highly motivated and innovative Senior Quantitative Analyst to develop and maintain cutting‑edge statistical models. You’ll play a crucial role in enhancing our market offerings and driving our success in the dynamic world of sports betting.

Sporting Solutions London

A taster of what you will be involved with:

• Core Sports Betting Models: Develop and refine models for predicting match outcomes, incorporating advanced statistical methods, machine learning algorithms, and AI techniques.
• Player Statistics Models: Build and maintain sophisticated models that analyze player performance and predict individual contributions, opening up exciting new betting markets.
• Risk Management Models: Design and implement robust risk models to optimize our exposure and ensure the long‑term sustainability of our operations.
• Market Expansion: Contribute to the development of innovative market offerings, including derivatives and micro‑markets, by creating the necessary underlying models.
• Technology Modernisation: Collaborate on the modernisation of our modelling technologies, exploring and implementing new tools and platforms to enhance efficiency and scalability.
• Data‑Driven Innovation: Contribute to the development of new data‑driven methodologies, pushing the boundaries of what’s possible in sports betting analytics.
• Data Collaboration: Work closely with the data engineering team to optimise data storage and retrieval processes, ensuring seamless access to the information needed for model development.
• Data Acquisition: Identify and collect relevant data sources to fuel model development and improvement.
• Knowledge Sharing: Document model methodologies clearly and concisely, effectively communicating complex technical concepts to both technical and non‑technical stakeholders across the business.
• Performance Analysis: Collaborate with the performance analysis team to identify areas where models can be improved and contribute to the ongoing refinement of our analytical tools.

What we are looking for

You are a highly analytical and results‑oriented individual with a passion for sports and a deep understanding of quantitative modelling. You thrive in a fast‑paced environment and are eager to contribute to a team that is pushing the boundaries of sports betting analytics.

• Education: PhD, Masters, or Bachelor’s degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering).
• Programming Skills: Proficiency in C# and Python is essential.
• Modelling Expertise: Strong knowledge of statistical and machine‑learning modelling techniques.
• Communication Skills: Excellent communication skills, with the ability to clearly explain complex technical information to diverse audiences.
• Industry Knowledge: A solid understanding of the sports betting industry, sports trading, and sports modelling.
• Problem‑Solving: Demonstrated ability to solve complex problems and provide clear justifications for chosen methodologies.
• Modelling Experience: Proven experience in building and deploying mathematical models.
• Data Skills: Proficient in data retrieval and statistical analysis.
• Experience: 5+ years of experience in a quantitative role.

Bonus Points

• Experience working in the sports betting industry.
• Mentoring and team leadership skills.
• Experience developing quantitative models using machine learning and AI.
• Strong knowledge and skills in data engineering (SQL).

What we offer

• A chance to be part of a dynamic and innovative team at the forefront of the sports betting industry.
• The opportunity to work on challenging and impactful projects.
• A competitive salary and benefits package.
• A collaborative and supportive work environment.

If you’re ready to take your quantitative skills to the next level and revolutionise the world of sports betting, we encourage you to apply!

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