Graduate Data Scientist
Graduate Data Scientist
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Job Description
About the Role
Join our Sportsbook team as a Graduate Data Scientist / Trader where youll gain hands-on experience working at the intersection of quantitative modeling and trading operations. Youll help support the development and monitoring of predictive models that power real-time odds and trading decisions while also participating in trading workflows for pre-match and in-play sports betting markets.
This is an excellent opportunity for an analytically minded graduate with a passion for sports data and betting markets to learn from an experienced team and grow into a hybrid quant/trading role.
Key Responsibilities
- Assist in building testing and maintaining statistical models used to price sportsbook markets (e.g. moneyline spreads totals props).
- Conduct exploratory data analysis and feature engineering using historical sports data and real-time feeds.
- Analyze performance metrics like margin P&L and customer behavior to improve pricing accuracy and model calibration.
- Work closely with Trading Product and Engineering teams to support model improvements and ensure seamless trading execution..
- Stay up-to-date with sports analytics statistical methods and advanced machine learning; evaluate new methods to keep our models best-in-class.
- Support traders with pricing risk management and market monitoring during live events.
- Monitor odds movement betting patterns and liabilities to help ensure market efficiency.
- Contribute to setting pre-match and in-play prices using internal tools and models.
Qualifications
- Bachelors or Masters degree in a quantitative field such as Statistics Mathematics Computer Science Engineering or similar.
- Solid foundation in probability and statistics with an interest in applying these to real-world problems.
- Strong programming skills in Python (especially with data-focused libraries like pandas and NumPy).
- Passion for sports and interest in sportsbook mechanics or financial markets.
- Strong attention to detail especially when working with live data and pricing environments.
- Willingness to work flexible hours during major sporting events as needed.
Nice to Have
- Familiarity with sports betting odds and common market types (e.g. spread totals player props).
- Exposure to sports analytics or participation in data competitions (e.g. Kaggle university research).
- Experience with data visualization tools or dashboarding
- Prior experience in a sportsbook trading desk or similar high-tempo environment.
Employment Type
Full-Time
