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Insurance Quant Jobs in Denver, CO (NOW HIRING)

... Insurance * Robust associate training and development with CoBank University * Tuition ... Contributes to the research and development of quantitative models, performs detailed analysis of ...

Will have a bachelor's degree, or its equivalent, in a quantitative field. 2. AVP, Senior Actuarial ... Comprehensive knowledge and understanding of Property & Casualty insurance terminology * Good ...

Prepare quantitative analysis new generation resources, identifying system cost, environmental, and ... Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care ...

... Insurance * Robust associate training and development with CoBank University * Tuition ... Independently applies advanced financial and quantitative modeling techniques to interpret and ...

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Showing results 1-20

Insurance Quant information

See Denver, CO salary details

$100.9K

$174.7K

$267.1K

How much do insurance quant jobs pay per year?

As of Aug 28, 2026, the average yearly pay for insurance quant in Denver, CO is $174,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,400.00 and $204,800.00 per year, depending on experience, location, and employer.

What is an insurance quant?

Insurance quants, or quantitative analysts in the insurance industry, use mathematical, statistical, and computational methods to analyze risk, price insurance products, and optimize investment strategies for insurance companies. They develop models to assess the likelihood of claims, determine appropriate premiums, and ensure the company's financial stability. Insurance quants often work closely with actuaries, but focus more on advanced quantitative techniques and financial modeling. Their work helps insurance firms make data-driven decisions and maintain competitiveness in the marketplace.

How does an insurance quant typically collaborate with underwriters and actuaries in their daily work?

An Insurance Quant frequently works alongside underwriters and actuaries to analyze risks, develop pricing models, and evaluate policy portfolios. Collaboration often involves sharing statistical insights, validating risk assumptions, and refining predictive models to ensure accurate and competitive insurance products. Regular meetings and data-sharing sessions help align quantitative findings with business objectives, enabling the team to make informed decisions on product design, pricing, and risk management. This close teamwork is crucial for integrating advanced analytics into traditional insurance processes and driving innovation within the organization.

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

To thrive as an Insurance Quant, you need strong quantitative skills, a background in mathematics, statistics, or actuarial science, and often an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python or R), statistical modeling tools, and actuarial software is typically required, along with relevant certifications such as actuarial credentials (e.g., SOA, CAS). Excellent problem-solving abilities, attention to detail, and the capacity to communicate complex analyses to non-technical stakeholders are standout soft skills. These competencies are critical for accurately assessing risk, pricing insurance products, and supporting data-driven decision-making in the insurance industry.

What is the difference between Insurance Quant vs Actuary?

AspectInsurance QuantActuary
Required CredentialsAdvanced degrees in mathematics, statistics, or finance; often CFA or FRM certificationsProfessional actuarial certifications (SOA, CAS), exams required
Work EnvironmentQuantitative teams within insurance companies, hedge funds, or consulting firmsInsurance companies, consulting firms, government agencies
Job FocusDeveloping models for risk assessment, pricing, and financial strategiesCalculating insurance premiums, reserving, and risk management
Common Search/ComparisonInsurance Quant vs Actuary

Insurance Quants and Actuaries both work in the insurance industry with a focus on risk and financial modeling. Quants typically use advanced mathematics and programming to develop models, while actuaries focus on pricing and reserving using actuarial exams and certifications. Both roles require strong quantitative skills, but their daily tasks and certifications differ.

What are popular job titles related to Insurance Quant jobs in Denver, CO?

For Insurance Quant jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Insurance Quant jobs in Denver, CO look for?

The top searched job categories for Insurance Quant jobs in Denver, CO are:

What cities near Denver, CO are hiring for Insurance Quant jobs?

Cities near Denver, CO with the most Insurance Quant job openings:

Infographic showing various Insurance Quant job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $174,698 per year, or $84 per hour.

Quantitative Risk Analyst

Greenwood Village, CO • On-site

CoBank
Commercial Banking • 1 - 5K employees

$100 - $123/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Benefits Overview

A career at CoBank can offer you the opportunity to make a personal impact on the people and communities where we do business. In order to be the best, we hire the best!

Benefits Offered by CoBank
  • Careers with a purpose
  • Time-Off Packages, 15 days of vacation, 10 paid sick days and 11 paid holidays
  • Competitive Compensation & Incentive
  • Hybrid work model: flexible arrangements for most positions
  • Benefits Packages, including Medical, Dental and Vision coverage, Disability, AD&D, and Life Insurance
  • Robust associate training and development with CoBank University
  • Tuition reimbursement for higher education
  • Outstanding 401k: up to 6% matching and additional 3% non-elective contribution & Student Loan Match
  • Community Impact: United Way Angel Day, Volunteer Day and Associate Directed Contribution
  • Associate Resource Groups: creating a culture of respect and inclusion
  • Recognize a fellow associate through our GEM awards
Job Description

Supports CoBank initiatives by providing analytical insight and metrics to help inform business decisions. Contributes to the research and development of quantitative models, performs detailed analysis of data and output, and communicates results to relevant stakeholders.

Essential Functions
  • Contributes to the research and development of financial models incorporating credit and/or market risk elements.
  • Contributes to or owns the ongoing management of existing models, which includes maintenance of data/documentation/parameters, performance monitoring, risk quantification and explanation/education of results.
  • Acts as subject matter expert by presenting results, findings, conclusions and recommendations to internal and external stakeholders such as: CoBank management, Model Risk Management, CoBank business units, and external validators.
  • 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 visualizations with potential of becoming a standard for the bank.
  • Researches internal and external data sources required for modeling. Investigation may require creation of new business rules for modeling purposes.
  • Identifies and applies business knowledge and rules required for model development.
  • Queries, manipulates, and analyzes large datasets.
Education
  • Master's Degree Quantitative Finance, Mathematics, Computer Science, Statistics or other relevant discipline required
  • FRM, PRM, and/or CFA certification preferred
Work Experience
  • 3 years in quantitative finance required
  • Experience with Asset/Liability risk analyses principles such as interest rate risk, liquidity risk, funding risk, and currency risk.
  • Knowledge of the current regulatory framework on risk modeling. Knowledge of agriculture industry.
  • Knowledge and/or experience with credit risk modeling, loss forecasting, regression models and economic capital.
  • Knowledge of financial, mathematical modeling theory and practice.
  • Proficiency in statistical software packages such as SAS, Matlab, R, Python, VBA, or C++. Proficiency in data mining and understanding of relational databases, particularly in SAS and/or SQL. Demonstrated expertise in problem solving.
  • Knowledge of vendor tools such as QRM, Moody’s Risk Frontier, and Polypaths.
  • Knowledge of the finance and lending industry including instrument structures/types and financial markets knowledge. Knowledge of overall risk management and finance concepts.
Physical Exertion Details

Sedentary Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Travel Requirement Details

Occasional Travel occurs infrequently (typically, once a month or less).

Compensation

The typical base pay range for this role is between $100,000 - $123,000. Compensation may vary based on individual job-related knowledge, skills, expertise, and experience. This position is eligible for a discretionary annual incentive program driven by organization and individual performance. The listed salary, other compensation and benefits information is accurate as of the date of this posting.

Reasonable Accommodation

We are committed to ensuring that our online application process provides an equal employment opportunity to all applicants, including qualified individuals with disabilities. If you are an applicant with a disability, or are assisting an applicant with a disability, and require accessibility assistance or would like to request a reasonable accommodation for any aspect of the application process, including completing an application, interviewing, or otherwise participating in the employee selection process, please submit a request by emailing recruiting@cobank.com. Include your contact information and specific details about your requested accommodation.

Equal Opportunity Employment

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

CoBank is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

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