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Quantitative Analyst I
Job Location:
Job Location:
Denver, CO - USA
Monthly Salary:
$ 1 - 1
Monthly Salary:
Posted:
26 August 2026 (Yesterday)
Posted:
Application Deadline:
23 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce Fanatics Collectibles and Fanatics Betting & Gaming allowing sports fans to Buy Collect and Bet. Through the Fanatics platform sports fans can buy licensed fan gear jerseys lifestyle and streetwear products headwear and hardgoods; collect physical and digital trading cards sports memorabilia and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties including major national and international professional sports leagues players associations teams colleges college conferences and retail partners 2500 athletes and celebrities and 200 exclusive athletes; and over 2000 retail locations including its Lids retail stores. Our more than 22000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Quantitative Analyst: Short Description for Internal Candidates
As a Quantitative Analyst youll 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. Youll 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.
Description for Internal Candidates
As a Quantitative Analyst youll 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. Youll 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.
Responsibilities
As a Quantitative Analyst your responsibilities will include
As a Quantitative Analyst youll 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. Youll 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.
Description for Internal Candidates
As a Quantitative Analyst youll 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. Youll 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.
Responsibilities
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
Qualifications
- Bachelors or Masters 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
Experience
- While junior roles often dont 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.
Salary range is listed in USD; ranges will change based on country and state of residence which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $64600 to $91800 (Salary 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 on the role your interview and onboarding experience may include in-person components such as onsite interviews or Launching into Better: LIVEa 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 visithttps:// 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 addition to the base and bonus full-time employment and more. For information about our benefits please visithttps:// Range
$1 - $1 USD
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Required Experience:
IC
About Company
Fanatics offers the broadest assortment of fan merchandise and memorabilia worldwide.
