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Quant Engineer Jobs in Colorado (NOW HIRING)

Quantitative Developer

Denver, CO · On-site

$110K - $125K/yr

Write production code that other quants want to build on. Own reliability, testing, and observability for what you ship. * Mentor teammates on effective AI-augmented engineering practice. * Carry out ...

Quantitative Developer

Denver, CO · Hybrid

$110K - $125K/yr

Write production code that other quants want to build on. Own reliability, testing, and observability for what you ship. * Mentor teammates on effective AI-augmented engineering practice. * Carry out ...

Write production code that other quants want to build on. Own reliability, testing, and observability for what you ship. * Mentor teammates on effective AI-augmented engineering practice. * Carry out ...

Work hands-on in Python alongside engineering to build scalable, production-grade investment systems on a cutting-edge digital wealth platform. WHO YOU ARE: * MS/PhD in a quantitative discipline ...

Work hands-on in Python alongside engineering to build scalable, production-grade investment systems on a cutting-edge digital wealth platform. WHO YOU ARE: * MS/PhD in a quantitative discipline ...

Principal Systems Engineer

Longmont, CO · On-site

$100.50 - $178/hr

Leverage modeling and quantitative analysis to inform design decisions, assess trades, and predict ... Systems Engineering Documentation: Drive the creation and delivery of critical systems engineering ...

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of ... Bachelor's (8+ years) or Master's (6+ years) in computer science or related quantitative field ...

Leverage modeling and quantitative analysis to inform design decisions, assess trades, and predict ... Systems Engineering Documentation: Drive the creation and delivery of critical systems engineering ...

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Quant Engineer information

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

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

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

Infographic showing various Quant Engineer job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Posted 12 days ago


Job description

About the role
Fanatics Markets is Fanatics' prediction market platform, letting users trade contracts across sports, finance, economics, culture, and crypto. We're building out our trading desk to provide liquidity, manage risk, and ensure tight, fair markets across our contract slate. We're looking for a Senior Trader with hands-on market making experience to help scale this function as we expand into new states and asset classes.

What you'll do

  • Make markets and manage risk across sports and financial prediction contracts
  • Design and develop pricing models to generate real-time fair values for event-driven outcomes
  • Partner with product and engineering to productionize models for live trading
  • Monitor, validate, and iterate on production models, continuously improving predictive accuracy and trading outcomes while ensuring robustness and operational stability of pricing models
  • Identify and execute market-take opportunities arising from model insights and prediction-market dynamics
  • Design & implement trading strategies to maximise volume and revenue while scaling automated decision-making
  • Partner with product, quant, engineering, and compliance teams to launch new markets and contract types

What you'll bring

  • Bachelor's degree or higher in a technical or quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Economics).
  • 2+ years of professional trading or modeling experience in fast moving competitive environments such as  market making, options/derivatives, prop trading, or sports betting trading
  • Experience integrating data and models into production
  • Strong grasp of trading concepts, with the ability to think critically about uncertainty and model assumptions
  • Python proficiency, including strong experience with data manipulation, statistical analysis, and automation.
  • Passion for and strong understanding of sports and event-driven markets
  • Flexibility with working hours to align with global sporting schedules.

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/