1

Quant Jobs in Colorado (NOW HIRING)

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 ...

Lead, Quant AI Investments

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 ...

Transactional Quantitative Analyst

Boulder, CO · On-site +1

$63.34 - $85.70/hr

The Transactional Quantitative Analyst will handle analytical projects to assist in structuring and optimizing client deals. This role can be hybrid or fully virtual. Candidates with substantial ...

Applies knowledge of standard quantitative/computational finance methods to energy commodity Risk System pricing and valuation spaces. Demanding internal customers and fast-paced trade floor ...

New

Decision Science Analyst Senior

Colorado Springs, CO · On-site +1

$86K - $114K/yr

Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

Decision Science Analyst Senior

Colorado Springs, CO · On-site +1

$86K - $115K/yr

Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

next page

Showing results 1-20

Quant information

See Colorado salary details

$103K

$178.5K

$272.9K

How much do quant jobs pay per year?

As of Jul 10, 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.

Do quants make a lot of money?

Quantitative analysts, or quants, often earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation typically includes a base salary, bonuses, and profit-sharing, with total earnings frequently exceeding those of many other finance roles, especially in hedge funds and investment banks.

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 jobs pay 500,000 a year in the US?

Quantitative analysts, or quants, in finance and investment firms can earn $500,000 or more annually, especially with bonuses and profit sharing. High-level roles such as senior traders, hedge fund managers, and chief investment officers also often reach or exceed this compensation level, typically requiring advanced degrees, strong programming skills, and extensive industry experience.

What are quants?

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 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 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 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.

Do quants make 7 figures?

Quantitative analysts, or quants, working at top hedge funds or investment banks can earn seven-figure salaries including bonuses, especially at senior levels or with extensive experience. However, most quants' compensation varies widely based on firm size, location, performance, and skill set, and many do not reach seven-figure earnings.

What is a quant job?

A quant job involves using mathematical models, statistical techniques, and programming skills to analyze financial data and develop trading strategies. Quants typically work in finance, often requiring knowledge of programming languages like Python or C++ and a strong background in mathematics or engineering. They help firms manage risk and optimize investment decisions.
What are the most commonly searched types of Quant jobs in Colorado? The most popular types of Quant jobs in Colorado are:
What cities in Colorado are hiring for Quant jobs? Cities in Colorado with the most Quant job openings:
Infographic showing various Quant job openings in Colorado as of July 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $178,473 per year, or $85.8 per hour.
Lead, Quant AI Investments

Lead, Quant AI Investments

TIFIN

Boulder, CO

$150K - $225K/yr

Other

Posted 16 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.