Junior Sports Quantitative Analyst
The Quant team is responsible for developing the models and tools required for trading a wide range of sports. The aim is to provide the best betting experience to current and future customers during global expansion. This involves producing prices for all expected markets, same-game accumulators, high betting availability, and a great cash-out experience.
As a Junior Sports Quantitative Analyst, you will work alongside senior quants, traders, and engineers to help research, build, validate, and deploy models and tooling that power the sportsbook. This is a hands-on role that combines mathematics, statistics, programming, and product curiosity. You will be supported to develop into an independent model owner over time.
- Support the development, testing, and maintenance of mathematical and statistical models for core and derivative markets across multiple sports.
- Assist with contingency and 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.
- Has a strong foundation in probability, statistics, and applied mathematics (required).
- Has solid programming skills in Python (or similar), and is comfortable working with data (pandas / SQL or equivalent) (required).
- Can reason clearly about modelling assumptions, bias, and validation (required).
- Is curious and proactive, with a willingness to learn and take ownership over time (required).
- Communicates technical work clearly (required).
- Has a strong work ethic with a drive for completing high-quality work (required).
- Exposure to sports analytics or sports betting markets (nice-to-have).
- Experience working with large datasets and/or real-time data feeds (nice-to-have).
- Familiarity with statistical learning / optimisation techniques (nice-to-have).
- Golang experience (nice-to-have).
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.