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Quant Internships information

What is a quant internship?

A Quant Internship is a temporary position where students or recent graduates work with quantitative finance teams at hedge funds, banks, or trading firms. Interns use mathematical models, programming, and statistical analysis to analyze financial markets, develop trading strategies, or enhance risk management techniques. These roles typically require strong skills in programming (Python, C++, or R), statistics, and financial mathematics. The internship provides hands-on experience in algorithmic trading, portfolio optimization, and data-driven decision-making. Successful interns often receive full-time job offers in quantitative finance.

What kinds of projects or tasks are typically assigned to quant interns during their internship?

Quant Interns often work on projects such as data analysis, building or testing quantitative models, conducting backtesting on trading strategies, or supporting research on market trends. Daily tasks may include coding in languages like Python or R, analyzing large datasets, and preparing reports or presentations on findings. Interns typically collaborate closely with senior quantitative analysts, traders, or technologists, and may participate in team meetings or brainstorming sessions. This hands-on experience provides invaluable insight into the workflow of a quant team and helps interns develop practical skills applicable to full-time quantitative roles.

What are the key skills and qualifications needed to thrive in a quant internship, and why are they important?

To thrive in Quant Internships, a strong background in mathematics, statistics, programming (often Python, R, or C++), and familiarity with financial concepts is essential, typically supported by enrollment in a quantitative degree program such as math, physics, engineering, or finance. Interns should be adept with data analysis tools, statistical packages, coding platforms, and may benefit from exposure to Bloomberg terminals or similar financial data systems. Excellent problem-solving abilities, attention to detail, effective communication skills, and the ability to collaborate within teams are key soft skills in this field. Mastering these skills enables interns to contribute meaningfully to quantitative research, model development, and analytical projects within fast-paced financial environments.

What are the most commonly searched types of Quant Internships jobs in Colorado?

The most popular types of Quant Internships jobs in Colorado are:

What are popular job titles related to Quant Internships jobs in Colorado?

For Quant Internships jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Quant Internships jobs in Colorado look for?

The top searched job categories for Quant Internships jobs in Colorado are:

What cities in Colorado are hiring for Quant Internships jobs?

Cities in Colorado with the most Quant Internships job openings:

Quant Internships jobs near you
Infographic showing various Quant Internships job openings in Colorado as of August 2026, with employment types broken down into 7% Internship, 1% As Needed, 77% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution.

Quantitative Analyst I

Fanatics Betting & Gaming

Denver, CO

$64K - $91K/yr

Full-time

Posted 28 days ago

Job description

Quantitative Analyst: Short Description for Internal Candidates
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.
Description for Internal Candidates
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.
 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
  • 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
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.
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: $64,600 to $91,800 (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 https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a 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 visit https://benefitsatfanatics.com/

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