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Quantitative Trading Jobs in Colorado (NOW HIRING)

The Trade Desk

Trading Specialist

Denver, CO · On-site

Strong quantitative skills using tools such as MS Excel, Vertica and Power BI * Ability to ... The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit ...

Tenaska

Market Fundamentals Analyst

Denver, CO · On-site

Bachelor's degree in Business, Finance, Economics, Engineering, Mathematics, Data Analytics or a related quantitative field * 3-5 years of experience in analytical, trading support, commercial ...

Tenaska

Market Fundamentals Analyst

Denver, CO · On-site

$90 - $120/hr

Bachelor's degree in Business, Finance, Economics, Engineering, Mathematics, Data Analytics or a related quantitative field * 0-5 years of experience in analytical, trading support, commercial ...

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All JobsQuantitative Trading JobsQuantitative Trading Jobs in Colorado

Quantitative Trading information

See Colorado salary details

$103K

$178.5K

$272.9K

How much do quantitative trading jobs pay per year?

As of Aug 19, 2026, the average yearly pay for quantitative trading in Colorado is $178,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,400.00 and $209,300.00 per year, depending on experience, location, and employer.

What is quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.

What are the key skills and qualifications needed to thrive as a quantitative trader, and why are they important?

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

How much do quantitative traders make?

Quantitative traders typically earn a base salary ranging from $100,000 to $200,000 annually, with total compensation often exceeding $300,000 when including bonuses and profit sharing. Compensation varies based on experience, firm size, and performance, with successful traders earning significantly more through performance-based incentives.

What do you do as a quantitative trader?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities, often using tools like Python, R, or MATLAB, and work in fast-paced financial environments to execute trades based on algorithmic signals.

What are the most commonly searched types of Quantitative Trading jobs in Colorado?

The most popular types of Quantitative Trading jobs in Colorado are:

What are popular job titles related to Quantitative Trading jobs in Colorado?

For Quantitative Trading jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Quantitative Trading jobs in Colorado look for?

The top searched job categories for Quantitative Trading jobs in Colorado are:

Quantitative Trading jobs near you
Infographic showing various Quantitative Trading job openings in Colorado as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $178,473 per year, or $85.8 per hour.

Quantitative Analyst I

Fanatics Betting & Gaming

Denver, CO

$64K - $91K/yr

Full-time

Posted 12 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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