Quantitative Analyst I

Fanatics•Denver, CO

5d•$100,000 - $115,000•Hybrid

About The Position

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 Denver office. No Visa sponsorship available.

Requirements

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.

Nice To Haves

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
Experience 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.

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, 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