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: Exciting opportunity to work with large datasets and real-time data feeds.
- Why this job: Be part of a dynamic team shaping the future of sports betting with innovative technology.
- 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 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 growing industry, while receiving support for your professional development and growth. Our culture encourages curiosity and ownership, making it an exciting place to contribute to the future of sports and gaming.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Sports Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend sports analytics meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, data analysis, or sports modelling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with statistical models and how you've tackled real-world data challenges.
✨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 to revolutionise sports and gaming.
We think you need these skills to ace Junior Sports Quantitative Analyst
Some tips for your application 🫡
Show Your Passion for Sports Analytics:When you write your application, let your enthusiasm for sports and analytics shine through! We want to see how your interests align with our mission to revolutionise the sports experience. Share any relevant projects or experiences that highlight your passion.
Highlight Your Technical Skills:Make sure to showcase your programming skills, especially in Python or similar languages. We’re looking for someone who can handle data like a pro, so mention any experience with pandas, SQL, or large datasets. This is your chance to impress us with your technical prowess!
Be Clear and Concise:We appreciate clarity in communication, so keep your application straightforward and to the point. Use simple language to explain your experiences and skills, and don’t forget to proofread for any typos or errors. A polished application speaks volumes about your attention to detail!
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 ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team at StudySmarter!
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 specific examples or experiences where you've used these skills will 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 and how it relates to data analysis.
✨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 the sports betting market. This shows that 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 and assumptions clearly to the team, so being able to articulate your thoughts effectively is key. Consider doing mock interviews to refine this skill.
