Quantitative Analyst I
- Denver, CO
- $86,400-108,000 per year
- Permanent
- Full-time
- 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
- 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.