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Risk Modeler Jobs (NOW HIRING)

Catastrophe Risk Modeler

Kansas City, KS · On-site +1

$125K - $162K/yr

The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

As a Risk Modeler, you will be participating End-to-End model development life-cycle for customer acquisition, credit risk and underwriting, adopt applications of ML to enhance next generation ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

As a Risk Modeler, you will be participating End-to-End model development life-cycle for customer acquisition, credit risk and underwriting, adopt applications of ML to enhance next generation ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

As a Risk Modeler, you will be participating End-to-End model development life-cycle for customer acquisition, credit risk and underwriting, adopt applications of ML to enhance next generation ...

Risk Modeler I

Las Vegas, NV

$52.75 - $68.50/hr

As a Risk Modeler, you will be participating End-to-End model development life-cycle for customer acquisition, credit risk and underwriting, adopt applications of ML to enhance next generation ...

As Lead Actuarial Risk Modeler , you will utilize your actuarial and risk modeling skills with specialized expertise in cyber to support Tokio Marine Holdings model development, validation, and ...

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Risk Modeler information

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How much do risk modeler jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for risk modeler in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a risk modeler?

To thrive as a Risk Modeler, you need strong quantitative, analytical, and statistical skills, usually backed by a degree in mathematics, statistics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling software, and certifications such as FRM or CFA are highly beneficial. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for translating complex models into actionable insights. These skills and qualifications are essential for accurately assessing risk, informing decision-making, and supporting organizational resilience.

How do risk modelers typically collaborate with other departments within an organization?

Risk Modelers often work closely with teams such as finance, underwriting, data analytics, and IT to ensure that models accurately reflect the organization's risk profile and business objectives. Regular communication is essential to gather relevant data, validate model assumptions, and present findings to stakeholders who may not have a technical background. This cross-functional collaboration helps translate complex quantitative results into actionable insights for decision-makers, making teamwork and clear communication key aspects of the role.

What is the difference between Risk Modeler vs Quantitative Analyst?

AspectRisk ModelerQuantitative Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related fields; certifications like FRM or CFABachelor's or Master's in Finance, Mathematics, or related fields; certifications like CFA or CQF
Work EnvironmentFinancial institutions, risk management teams, insurance companiesInvestment banks, asset management firms, hedge funds
Employer & Industry UsagePrimarily in risk management roles within finance and insuranceIn investment analysis, trading, and portfolio management

While both roles require strong quantitative skills and similar educational backgrounds, Risk Modelers focus on developing models to assess and mitigate financial risks, often within risk management departments. Quantitative Analysts, on the other hand, primarily develop models for investment strategies, pricing, and trading decisions. The roles overlap in skills but differ in their primary focus and application within the financial industry.

What does a risk modeler do?

A risk modeler develops quantitative models to assess and predict financial, operational, or credit risks for organizations. They analyze data, use statistical tools and software, and create models to help companies make informed risk management decisions. Strong analytical skills and knowledge of risk management frameworks are essential for this role.
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Infographic showing various Risk Modeler job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

Catastrophe Risk Modeler

Kansas City, KS • On-site, Remote

$125K - $162K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Execute catastrophe modeling projects by identifying data and models, selecting methodologies, establishing assumptions, and managing technical timelines.

  • Perform complex catastrophe model analyses involving multiple vendor platforms, evaluate differences among models, and conduct sensitivity testing and uncertainty analysis.

  • Prepare and validate exposure data, configure and run catastrophe models, analyze outputs, and communicate model limitations.


Job description

Job Description:

The Regulatory Affairs division of the National Association of Insurance Commissioners (NAIC) has an exciting opportunity for a Catastrophe Risk Modeler. The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This position uses commercial catastrophe models, insurance and notional exposure datasets, and other analytical tools to help states prioritize resilience initiatives, mitigation programs, grant funding, and other investments based on hazard, exposure, vulnerability, mitigation potential, and expected loss reduction. This is a full-time remote position. Residency within the United States is required.

Responsibilities Include

  • Works with the Sr. Catastrophe Risk Modeler and Sr. Manager of CAT Modeling Center of Excellence to execute assigned catastrophe modeling projects, including identifying appropriate data and models, selecting methodologies, establishing assumptions, designing quality-control procedures such as documentation and validation/peer-review, managing technical timelines, and communicating results and limitations.
  • Executes complex catastrophe model analyses involving multiple vendor platforms, perils, geographic regions, portfolios, or regulatory applications. Evaluates differences among models and scenarios through sensitivity testing, uncertainty analysis, benchmarking, and reconciliation of results.
  • With guidance from the Sr. Catastrophe Risk Modeler, prepares and validates exposure data, configures and executes catastrophe model runs, conducts quality assurance and reasonableness reviews, analyzes model outputs, and articulates model limitations.
  • Works on the development of analytical tools, interactive dashboards, maps, tables, charts, and other visual products using platforms such as Tableau, Power BI, and ArcGIS.
  • Assists in delivering regulator education, including introductory programs such as CAT 101 and advanced training on model components, assumptions, uncertainty, validation, and regulatory applications.
  • Assists in evaluating new catastrophe model versions, data sources, analytical tools, artificial intelligence applications, and emerging methodologies.

Minimum Education and/or Experience Required

  • Bachelor's or master's degree in a quantitative or technical field such as applied mathematics, actuarial science, statistics, data science, insurance, risk management, engineering, physics, atmospheric science, geography, geospatial science, or a related discipline is required and 5+ years of experience in delivering complex catastrophe modeling, data analysis, geospatial analysis, or applied risk analytics, including significant experience within property insurance, reinsurance, catastrophe risk, or a closely related field or an equivalent combination of education and experience.
  • Hands-on experience with at least one recognized commercial catastrophe modeling platform, such as Moody's RMS, Verisk, or another comparable vendor platform, is required. Experience should include preparing model data, configuring and executing analyses, evaluating results, and communicating model assumptions and limitations.
  • Proficiency with Microsoft Excel, SQL, GIS tools (e.g., ArcGIS), cloud analytics, and at least one programming or statistical language, such as Python, R, or SAS, is required.
  • Strong written and verbal communication skills are required, including the ability to explain complex catastrophe modeling concepts and analytical conclusions to regulators, executives, technical experts, and nontechnical audiences.
  • Knowledge of emerging risks, including physical climate risk, casualty catastrophe risk, or cyber catastrophe risk, is beneficial.

Preferred Experience

  • Relevant professional credentials-such as CPCU, CEEM, CCRA, CSCR, CCRMP, ARM, ARe, or actuarial designation.

Systems & Technology Requirements

  • Microsoft Office Suite
  • GIS tools
  • At least one programming or statistical language

Travel

This position requires regular, out-of-state, overnight travel in support of member meetings and events throughout the year. Must be able and willing to travel to locations throughout the United States and with such frequency as necessary to meet the needs of this position and the Association. Estimated travel is up to 30%.

Compensation

$125,000 - $162,000 commensurate with education and experience.

Sponsorship

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.

Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for more information.

The NAIC is proud to be an Equal Opportunity Employer

Applicants for all positions are considered without regard to age, race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin or ancestry, marital status, pregnancy, genetic information, military or veteran status, disability, or any other basis protected by applicable law.