About Us
As a Quantitative Analyst, 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 and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is 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, Ireland office. No Visa sponsorship available.
While junior roles often don’t require extensive experience, 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.
As a Quantitative Analyst, your responsibilities will include
- 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, code and automate analytical processes, and perform data analysis tasks.
- Collaboration
- Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively
- Document and maintain clear and concise documentation of quantitative models, methodologies and analysis procedures for internal reference
- Continuous Learning
- Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training
- 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 a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research.
- Strong understanding of more advanced machine learning techniques is a plus
- Proficiency in at least one programming languages such as Python, C#, R, or C++ is a plus
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
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