Rodeo
ResourcesPartnersSign in

Betsson Group

Quantitative Data Analyst

London
Posted about 1 month ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

The Wow Quantitative Analyst - Revolutionizing Sports Betting Join our team and shape the future of sports betting! We're seeking a highly motivated and innovative 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. This is an opportunity to leverage your expertise in data science, machine learning, and AI to build models that predict outcomes, manage risk, and unlock new possibilities in micro-markets and derivatives. A taster of what you will be involved with: As a Quantitative Analyst, you will be a key contributor to our quantitative modelling strategy across multiple areas, including: 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 Modernization: Collaborate on the modernization of our modeling 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 optimize 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. 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 revolutionize the world of sports betting, we encourage you to apply! Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job
Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

C#
Python
Statistical Modelling
Machine Learning
AI
Risk Management
Data Retrieval
SQL
Sports Betting Analytics
Quantitative Analysis
Mathematical Modelling
Data Engineering

Location

London, England, United Kingdom

Sign up to applySee more jobs like this