At a Glance
- Tasks: Support development of models and tools for sports trading and betting experiences.
- Company: Join Superbet, a global tech group revolutionising sports and gaming.
- Benefits: Competitive salary, diverse team, and opportunities for growth in a dynamic environment.
- Other info: Collaborative culture with a commitment to diversity and high performance.
- Why this job: Make an impact in the exciting world of sports analytics and technology.
- Qualifications: Strong foundation in maths, programming skills in Python, and a passion for sports.
The predicted salary is between 27900 - 34100 £ 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
About Super: We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play: Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day.
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.
Junior Sports Quantitative Analyst employer: Super Technologies
Super Technologies is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and market intelligence. With a strong emphasis on employee growth, you will have access to cutting-edge tools and resources, enabling you to lead impactful research in the thriving sectors of gaming, ecommerce, and fintech. Located in a vibrant area, the company offers unique networking opportunities and a collaborative environment that encourages creativity and professional development.
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We think this is how you could land Junior Sports Quantitative Analyst
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Junior Sports Quantitative Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Super Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Super Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Super Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Super Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
