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Quant Engineer Jobs in Colorado (NOW HIRING)

TIFIN

Lead, Quant AI Investments

Boulder, CO

$150K - $225K/yr

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 ...

TIFIN

Lead, Quant AI Investments

Boulder, CO · On-site

$150K - $225K/yr

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 ...

eFulgent

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 ...

Attalon, Inc.

Principal Systems Engineer

Longmont, CO · On-site

$100K - $178K/yr

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 ...

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer ... Strong mathematical foundation with the ability to apply quantitative methods to technical ...

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Quant Engineer information

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

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 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.

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.

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 popular job titles related to Quant Engineer jobs in Colorado? For Quant Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Colorado look for? The top searched job categories for Quant Engineer jobs in Colorado are:
Quant Engineer jobs near you
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.

Lead, Quant AI Investments

TIFIN

Boulder, CO

$150K - $225K/yr

Other

Re-posted 14 days ago

Job description

WHAT YOU'LL BE DOING:

As we scale our platform of investment intelligence products, we are seeking someone to lead the intersection of quantitative research, AI innovation, and product strategy. You will shape how systematic investing, personalization, and intelligent systems redefine the investor experience.

This is a hands-on leadership role for someone who can move fluidly between portfolio theory, model development, AI systems, and product strategy. You will translate cutting-edge quantitative research and AI capabilities into scalable, revenue-generating investment products. 

THE ROLE:

  • Lead the full lifecycle of quantitative model development - from ideation and backtesting to production deployment - across portfolio construction, risk, and factor modeling.
  • Shape AI-driven investment intelligence by embedding LLMs, ML, and generative AI directly into research, analytics, and advisor workflows.
  • Own a high-impact product roadmap at the intersection of quantitative finance and AI, with direct influence over revenue-generating capabilities.
  • 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 (Financial Mathematics, Statistics, CS, Engineering, or similar)
  • 5-10+ years in quantitative investment research, portfolio optimization, or investment product development
  • Proven ability to bridge quant research and production platform implementation
  • Strong Python skills; hands-on coder comfortable working alongside engineering
  • Deep expertise in quant strategy development - portfolio optimization, risk/factor modeling, and statistical/predictive modeling
  • Practical experience applying modern AI/ML (transformers, LLMs, NLP, embeddings) to production investment workflows, including agentic pipelines

COMPENSATION AND BENEFITS PACKAGE:

$150,000 - $225,000 USD, commensurate with experience.

Relocation assistance is available for candidates currently outside of the Boulder area.

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