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Quant Jobs in Colorado (NOW HIRING)

TIFIN

Lead, Quant AI Investments, TIFIN.ai

Boulder, CO

$150K - $225K/yr

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 ...

TIFIN

Lead, Quant AI Investments, TIFIN.ai

Boulder, CO · On-site

$150K - $225K/yr

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 ...

CoBank

Quantitative Risk Analyst

Greenwood Village, CO · On-site

$100 - $123/hr

Supports Quantitative Risk team and management during implementation of new models and/or research and development projects. * Provides analytic support for ad-hoc analysis and development of ...

New

Janus Henderson Investors

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 ...

Janus Henderson Investors

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 ...

Janus Henderson Investors

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 ...

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All JobsQuant JobsQuant Jobs in Colorado

Quant information

See Colorado salary details

$103K

$178.5K

$272.9K

How much do quant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quant 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 a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.
More about Quant jobs

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

The most popular types of Quant jobs in Colorado are:

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

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

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

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

What cities in Colorado are hiring for Quant jobs?

Cities in Colorado with the most Quant job openings:

Quant jobs near you
Infographic showing various Quant job openings in Colorado as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $178,473 per year, or $85.8 per hour.

Lead, Quant AI Investments, TIFIN.ai

TIFIN

Boulder, CO

$150K - $225K/yr

Full-time

Re-posted 28 days ago

Job description

WHAT YOU'LL BE DOING:

TIFIN.ai is the AI operating layer for the wealth enterprise, a platform offering an agent library to address workflows across operations, investments and growth. Our north star is delivering better wealth outcomes for more people. We're building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities

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.

Apply