Teams at Fanatics

Build and maintain scalable, secure, high-performance real-time systems for Fanatics Betting & Gaming. Responsibilities include designing event-driven solutions, writing tested C# code, improving reliability and scalability, supporting the full product lifecycle, collaborating with Product, Quant, and Engineering teams, participating in code reviews and on-call rotation, documenting systems, and mentoring teammates. The role requires occasional travel and offers remote work for candidates based in Ireland or the UK.

Develops data science and advanced analytics solutions for Sportsbook and Casino businesses. Responsibilities include building machine learning, personalization, promotion, player segmentation, and Lifetime Value models; conducting experimentation and causal analysis; partnering with commercial stakeholders; and delivering data-driven recommendations to improve marketing efficiency and business performance.

Develop and test mathematical models for sports betting pricing and risk management. Collect, clean, and analyze sports and betting data to identify trends and improve trading strategies. Use Python, C#, R, or C++ to automate quantitative analysis, collaborate with quants and traders, document methodologies, and support pricing and risk model improvements.