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Catastrophe Modeling Jobs (NOW HIRING)

Naic

Catastrophe Risk Modeler

Kansas City, KS · On-site +1

$125K - $162K/yr

... modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This position uses commercial catastrophe models ...

Applied-Underwriters-2

CAT Modeling Analyst

Tampa, FL · On-site

$85 - $125/hr

The CAT Modeling Analyst's primary role is to manage and analyze catastrophe exposure data across various lines of business. Responsibilities include understanding, cleansing, validating, and ...

Socket.dev

CAT Modeling Analyst

Omaha, NE · On-site

$75 - $115/hr

The CAT Modeling Analyst's primary role is to manage and analyze catastrophe exposure data across various lines of business. Responsibilities include understanding, cleansing, validating, and ...

Applied Underwriters

CAT Modeling Analyst

Tampa, FL · On-site

$90 - $120/hr

The CAT Modeling Analyst's primary role is to manage and analyze catastrophe exposure data across various lines of business. Responsibilities include understanding, cleansing, validating, and ...

Arrowhead Programs

$170 - $190/hr

This role requires a strong understanding of reinsurance principles, catastrophe modeling software, and statistical analysis. How You Will ContributeTreaty Analysis Analyze and model complex ...

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How much do catastrophe modeling jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for catastrophe modeling 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 is catastrophe modeling?

Catastrophe modeling is the process of using computer models to estimate the potential losses that could result from natural or man-made disasters, such as hurricanes, earthquakes, floods, or terrorist attacks. These models analyze historical data, scientific research, and current exposure information to predict the likelihood and potential severity of catastrophic events. Insurers, reinsurers, and other organizations use catastrophe modeling to assess risk, price insurance policies, and prepare for possible large-scale losses.

How to get a job in catastrophe modeling?

The qualifications you need to obtain a job in catastrophe modeling include a bachelor’s degree in a science field related to catastrophes, such as geology, meteorology, or environmental science. Insurance-specific degrees, such as actuarial sciences, are also acceptable. Advanced degrees in actuarial science, math, or another catastrophe-related field may help you stand out in the job market. Practice using industry software to run data analysis to become proficient with the application. Some start their careers in entry-level positions in the insurance industry to learn about risk evaluation before moving into catastrophe modeling.

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

To thrive as a Catastrophe Modeler, you need a strong background in mathematics, statistics, and data analysis, typically supported by a degree in engineering, actuarial science, or a related field. Proficiency in modeling software (such as RMS or AIR), programming languages (like Python or R), and familiarity with GIS systems are commonly required. Critical thinking, attention to detail, and effective communication are valuable soft skills for interpreting data and conveying risk insights to stakeholders. These skills and qualifications are crucial for producing accurate risk assessments that inform insurance, reinsurance, and disaster preparedness strategies.

What are some common challenges faced by professionals in catastrophe modeling, and how can they be addressed?

Professionals in catastrophe modeling often encounter challenges such as managing large and complex datasets, staying current with emerging risks (like climate change), and communicating technical findings to non-technical stakeholders. Addressing these requires strong analytical skills, ongoing professional development, and effective collaboration with underwriters, actuaries, and risk managers. Building expertise in specialized software and maintaining open communication channels with other teams can help overcome these obstacles and contribute to successful risk assessments.

What is the difference between Catastrophe Modeling vs Actuary?

AspectCatastrophe ModelingActuary
Required CredentialsTypically requires degrees in risk management, insurance, or related fields; certifications like CPCU or ARM are commonRequires a degree in mathematics, statistics, or actuarial science; professional actuarial certifications (e.g., ASA, FSA) are essential
Work EnvironmentPrimarily in insurance, reinsurance, or risk management firms; involves data analysis and modelingIn insurance companies, consulting firms, or government agencies; involves data analysis, financial modeling, and risk assessment
Industry UsageUsed to assess and quantify natural disaster risks for insurance underwriting and risk managementUsed to evaluate financial risks, reserve calculations, and pricing in insurance and pension industries

While both roles involve risk analysis and data modeling, catastrophe modeling focuses specifically on natural disaster risks, whereas actuaries assess a broader range of financial risks. Both careers require strong quantitative skills and work within the insurance industry, but their specific applications and certifications differ.

How much do catastrophe modeling professionals make?

Catastrophe modeling professionals typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, education, and location. Senior roles or those with specialized skills in risk analysis and modeling tools can earn higher salaries, often exceeding $150,000 annually.

What do catastrophe modeling professionals do?

Catastrophe modeling professionals analyze data to assess the financial impact of natural and man-made disasters, such as hurricanes, earthquakes, and floods. They develop models using specialized software to estimate potential losses for insurance companies and other stakeholders, often requiring skills in statistics, risk assessment, and data analysis. Their work supports risk management and insurance underwriting decisions.
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Catastrophe Modeling jobs near you
Infographic showing various Catastrophe Modeling job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

Catastrophe Risk Modeler

National Association of Insurance Commissioners

Kansas City, MO • On-site, Remote

$125K - $162K/yr

Full-time

Posted 8 days ago

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.

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