Junior Sports Quantitative Analyst in London

Junior Sports Quantitative Analyst in London

London Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Super

At a Glance

  • Tasks: Support the development of models and tools for sports betting, analysing data and improving processes.
  • Company: Join a pioneering tech company transforming sports and gaming experiences worldwide.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with mentorship from experienced professionals.
  • Why this job: Be part of an innovative team shaping the future of sports betting and fan engagement.
  • Qualifications: Strong foundation in maths, programming skills in Python, and a passion for sports analytics.

The predicted salary is between 30000 - 40000 £ per year.

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world!

In Superbet, the Quant team is responsible for developing the models and tools required for trading a wide range of sports. We aim to provide the best betting experience to our current customers and those we will acquire during our expansion across the globe. This means producing prices for the full range of markets that our customers expect, same-game accumulators, high betting availability, and a great cash out experience.

As a Junior Sports Quantitative Analyst, you’ll work alongside senior quants, traders, and engineers to help research, build, validate, and deploy models and tooling that power our sportsbook. This is a hands‑on role that combines mathematics, statistics, programming, and product curiosity. You’ll be supported to develop into an independent model owner over time.

What you’ll be doing:

  • Support the development, testing, and maintenance of mathematical and statistical models for core and derivative markets across multiple sports
  • Assist with contingency / correlation modelling required for bet builder and same‑game accumulators
  • Collect, clean, and analyse large sports, trading, and market datasets and feeds
  • Run backtests, investigate model performance, and help iterate on model parameters and methodology
  • Build and improve internal tools that help traders operate efficiently and safely
  • Collaborate with engineering to integrate models and analytics into production systems (reliability, performance, observability)
  • Document analysis, assumptions, and changes; communicate findings clearly to the team

We are looking for someone who:

  • Has a strong foundation in probability, statistics, and applied mathematics
  • Has solid programming skills in Python (or similar), and is comfortable working with data (pandas / SQL or equivalent)
  • Can reason clearly about modelling assumptions, bias, and validation
  • Is curious and proactive, with a willingness to learn and take ownership over time
  • Communicates technical work clearly
  • Has a strong work ethic with a drive for completing high‑quality work

Bonus points if you have:

  • Exposure to sports analytics or sports betting markets
  • Experience working with large datasets and/or real‑time data feeds
  • Familiarity with statistical learning / optimisation techniques
  • Golang experience

Junior Sports Quantitative Analyst in London employer: Super

At Superbet, we are committed to fostering a dynamic and innovative work environment where creativity and collaboration thrive. As a Junior Sports Quantitative Analyst, you will have the opportunity to work with cutting-edge technology in a rapidly expanding industry, while receiving support for your professional growth and development. Our culture encourages curiosity and ownership, making it an exciting place to contribute to the future of sports and gaming.

Super

Contact Details:

Super Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Sports Quantitative Analyst in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream role.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to sports analytics or programming. This gives us a tangible way to see what you can do beyond just words on a CV.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quantitative analysis questions and being ready to discuss your thought process during the interview.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission at Superbet.

We think you need these skills to ace Junior Sports Quantitative Analyst in London

Probability
Statistics
Applied Mathematics
Python
Data Analysis
Pandas
SQL

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your strong foundation in probability, statistics, and applied mathematics. We want to see how your programming skills in Python (or similar) can help us build and improve our models.

Be Curious and Proactive:We love candidates who are eager to learn and take ownership. Share examples of how you've tackled challenges or taken initiative in past projects. This will show us you're ready to dive into the role!

Communicate Clearly:When documenting your analysis or assumptions, keep it clear and concise. We need to understand your thought process, so don’t shy away from explaining your findings in a straightforward way.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re serious about joining our mission!

How to prepare for a job interview at Super

Know Your Numbers

Brush up on your probability, statistics, and applied mathematics. Be ready to discuss how these concepts apply to sports analytics and betting markets. Having concrete examples from your studies or projects can really impress the interviewers.

Show Off Your Coding Skills

Make sure you’re comfortable with Python and any relevant libraries like pandas or SQL. You might be asked to solve a coding problem or explain your previous projects, so have some examples ready that showcase your programming prowess.

Be Curious and Proactive

Demonstrate your curiosity about the role and the company. Ask insightful questions about their models, tools, and the challenges they face in sports betting. This shows you’re not just interested in the job, but also in contributing to their mission.

Communicate Clearly

Practice explaining complex technical concepts in simple terms. You’ll need to communicate your findings effectively, so being able to break down your analysis for non-technical team members is key. Consider doing mock interviews to refine this skill.