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Salary: EUR 44,000 - 52,000 / annual
Fanatics is a leading global digital sports platform serving over 100 million sports fans worldwide. The company operates across three main pillars: Fanatics Commerce (licensed fan gear and merchandise), Fanatics Collectibles (physical and digital trading cards and memorabilia), and Fanatics Betting & Gaming (sportsbook and iGaming platform).
As a Quantitative Analyst I, you will operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be analyzing sports and betting data, developing predictive models, and assisting with trading decisions. You'll collaborate with senior quantitative analysts, traders, engineers, and product managers to improve pricing efficiency, expand the range of betting odds generated by the proprietary trading platform, and enhance risk models and management strategy.
Key responsibilities include:
• Model Development: Assist in developing, implementing, training, and testing mathematical models for pricing and managing the risk of sports betting events.
• Data Sourcing & Analysis: Collect and clean sports-related data. Analyze large datasets of play-by-play (simulated or historical) and betting data to identify patterns, trends, and correlations that inform trading strategies.
• Programming: Use programming languages such as C# or Python to develop quantitative models, code and automate analytical processes, and perform data analysis tasks.
• Collaboration: Work with senior quantitative analysts, traders, and product managers to understand business requirements, implement solutions, and communicate findings effectively. Document and maintain clear documentation of quantitative models, methodologies, and analysis procedures.
• Continuous Learning: Stay abreast of developments in quantitative analysis, betting markets, and related fields through self-study and training.
This is a hybrid role requiring 2–5 days per week in the Dublin, Ireland office. No visa sponsorship is available.
QUALIFICATIONS:
• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field.
• Outstanding mathematical, statistical, and analytical skills.
• Excellent work ethic and good team skills.
• Detail-oriented mindset with commitment to producing high-quality work and adhering to best practices in quantitative analysis and research.
• Strong understanding of advanced machine learning techniques (a plus).
• Proficiency in at least one programming language such as Python, C#, R, or C++ (a plus).
• Any exposure to financial markets, data analysis, or quantitative research is beneficial. Internships or coursework related to quantitative finance or numerical modeling are a plus.
