Catastrophe Risk Modeler

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🌪️ Kansas – Remote

🌪️ Kansas – Remote

💵 $125k - $162k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎲 Risk

👻 Ghost score 0%

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National Association of Insurance Commissioners (NAIC)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1871

🛡️ Insurance

🏛️ Government

🤝 Non-profit

Insurance • Government • Non-profit

National Association of Insurance Commissioners (NAIC) is a U. S. -based standard-setting and support organization for state insurance regulators. It provides expertise, data, model laws, regulatory guidance, technology platforms (e. g. , myNAIC), research, and education to help state insurance commissioners regulate insurers, protect consumers, and promote consistent administration of insurance law. NAIC publishes model laws and guidance, manages filing and data systems, coordinates committee work on topics such as financial regulation, market conduct, cybersecurity, and AI/ML, and offers consumer resources and complaint tools.

📋 Description

• Execute assigned catastrophe modeling projects, including identifying appropriate data and models, selecting methodologies, establishing assumptions, designing quality-control procedures, managing technical timelines, and communicating results and limitations • Execute complex catastrophe model analyses involving multiple vendor platforms, perils, geographic regions, portfolios, or regulatory applications • Evaluate differences among models and scenarios through sensitivity testing, uncertainty analysis, benchmarking, and reconciliation of results • Prepare and validate exposure data, configure and execute catastrophe model runs, conduct quality assurance and reasonableness reviews, analyze model outputs, and articulate model limitations • Develop analytical tools, interactive dashboards, maps, tables, charts, and other visual products using platforms such as Tableau, Power BI, and ArcGIS • Assist in delivering regulator education, including CAT 101 and advanced training on model components, assumptions, uncertainty, validation, and regulatory applications • Assist in evaluating new catastrophe model versions, data sources, analytical tools, artificial intelligence applications, and emerging methodologies • Work with the Sr. Catastrophe Risk Modeler and Sr. Manager of CAT Modeling Center of Excellence • Travel regularly out of state and overnight in support of member meetings and events

🎯 Requirements

• Bachelor’s or master’s degree in a quantitative or technical field is required, or an equivalent combination of education and experience • 5+ years of experience delivering complex catastrophe modeling, data analysis, geospatial analysis, or applied risk analytics, including significant experience in property insurance, reinsurance, catastrophe risk, or a closely related field • Hands-on experience with at least one recognized commercial catastrophe modeling platform, such as Moody’s RMS, Verisk, or another comparable vendor platform • Experience preparing model data, configuring and executing analyses, evaluating results, and communicating model assumptions and limitations • Proficiency with Microsoft Excel, SQL, GIS tools such as ArcGIS, cloud analytics, and at least one programming or statistical language such as Python, R, or SAS • Strong written and verbal communication skills, 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 • Relevant professional credentials such as CPCU, CEEM, CCRA, CSCR, CCRMP, ARM, ARe, or actuarial designation are preferred • Microsoft Office Suite • GIS tools • At least one programming or statistical language • Must be authorized to work for any employer in the U.S. • Must be able and willing to travel throughout the United States, with estimated travel up to 30%

🏖️ Benefits

• Benefits are available; details are provided on the NAIC Benefits page • Equal Opportunity Employer