Hybrid Quantitative Analyst - Sports Betting Data

Fanatics Commerce; Denver (CO); Hybrid; USD 65,000 - 92,000; Full time

Job summary

Fanatics Commerce in Denver is seeking a Quantitative Analyst to analyze sport betting data, develop predictive models, and support trading decisions. You’ll collaborate with senior quants, traders, engineers and product managers to improve pricing efficiency and expand the range of betting odds generated by our trading platform.

This hybrid role requires 2–5 days per week in our Denver office. A strong background in mathematics, statistics and programming (Python, C#, R or C++) is essential for

Qualifications

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field.
• 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.
• 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.

Responsibilities

• As a Quantitative Analyst, model development for pricing and risk management of sport betting events.
• Data sourcing and analysis of sports-related data and betting markets to inform trading strategies.
• Programming with languages such as Python, C#, R, or C++ to develop quantitative models and automate analyses.
• Collaborate with senior quantitative analysts, traders, product managers to implement solutions and document methodologies.
• Stay abreast of developments in quantitative analysis and betting markets.

Skills

Quantitative analysis

Python

C#

R

C++

Education

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field

Tools

Python

C#

R

C++

Job description

Fanatics Commerce in Denver is seeking a Quantitative Analyst to analyze sport betting data, develop predictive models, and support trading decisions. You’ll collaborate with senior quants, traders, engineers and product managers to improve pricing efficiency and expand the range of betting odds generated by our trading platform.

This hybrid role requires 2–5 days per week in our Denver office. A strong background in mathematics, statistics and programming (Python, C#, R or C++) is essential for