Fanatics Betting and Gaming is looking to solve the problem of improving pricing efficiency and expanding the range of betting odds generated by their proprietary trading platform, as well as continuously improving their risk models and management strategy.
Requirements
- Proficiency in at least one programming languages such as Python, C-Sharp, R, or C++ is a plus
- Strong understanding of more advanced machine learning techniques is a plus
- Outstanding mathematical, statistical and analytical skills
- Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research
- Experience with financial markets, data analysis, or quantitative research is beneficial
- Internships or coursework related to quantitative finance or numerical modeling are a plus
- Strong programming skills in languages such as C-Sharp or Python
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-Sharp 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
- Apply mathematical and statistical techniques to solve complex problems
Other
- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field
- Excellent work ethic and good team skills
- 2-5 days per week in the Denver office
- No Visa sponsorship available
- Full-time employment
