Job Description
As a Quantitative Analyst I, you’ll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You’ll collaborate with senior quants, traders, engineers, and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform. You will also work on improving our risk models & management strategies. This role offers an exciting opportunity for professional development in a dynamic and fast-paced environment.
This is a hybrid role, requiring 2-5 days per week in our Dublin office.
Responsibilities
* Model Development: Assist in the development, implementation, training, and testing of mathematical models for pricing & managing the risk of sport 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 can inform trading strategies.
* Programming: Use programming languages such as C# or Python to develop quantitative models, 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. Maintain clear documentation of models, methodologies, and analysis procedures.
* Continuous Learning: Stay updated on developments in quantitative analysis & betting markets through self-study & training.
Qualifications
* Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related field.
* Outstanding mathematical, statistical, and analytical skills.
* Excellent work ethic and teamwork skills.
* Detail-oriented with a commitment to high-quality work and best practices in quantitative analysis.
* Knowledge of advanced machine learning techniques is a plus.
* Proficiency in programming languages such as Python, C#, R, or C++ is a plus.
Experience
* Experience in financial markets, data analysis, or quantitative research is beneficial but not mandatory.
* Internships or coursework related to quantitative finance or numerical modeling are advantageous.
About Us
Fanatics is building a leading global digital sports platform, igniting passions of sports fans worldwide through products across Fanatics Commerce, Collectibles, and Betting & Gaming. We serve over 100 million fans globally, with a vast partner network and retail presence. Our team of over 22,000 employees is dedicated to enhancing the fan experience.
About The Team
Launched in 2021, Fanatics Betting and Gaming is our online and retail sports betting subsidiary. We operate in multiple states with a presence inside NFL stadiums, headquartered in New York with offices in Denver, Leeds, and Dublin.
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