CAT MODELER

Grinnell Mutual Reinsurance•Des Moines, IA

1d•$89,000 - $154,500•Hybrid

About The Position

This role will operate and validate industry-standard catastrophe models, improve exposure data quality, support portfolio and cedant-level catastrophe analytics, and translate results into practical business insights. The position will work closely with Corporate Actuarial, Reinsurance, Pricing, Underwriting, Finance, and Enterprise Risk Management. Initial peril focus will include severe convective storm, winter storm, hurricane, and earthquake. The Catastrophe Modeler will help establish Grinnell Mutual’s in-house catastrophe modeling capability and develop a defensible internal view of catastrophe risk. This position qualifies for our flexible workplace options. Work at our Grinnell, Iowa, headquarters or from a home office in any of the following states: Alabama, Arizona, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Minnesota, Missouri, Montana, Nebraska, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Dakota, Tennessee, Texas, Virginia, Wisconsin, and Wyoming. Please note that candidates must be eligible to work in the U.S. without Grinnell Mutual sponsorship.

Requirements

Bachelor’s degree in a quantitative, scientific, or technical field such as actuarial science, mathematics, statistics, engineering, meteorology, atmospheric science, earth science, data science, or a related discipline.
At least 5 years of hands-on catastrophe modeling experience in property insurance, reinsurance, brokerage, consulting, or analytics.
Experience with catastrophe modeling platforms such as Moody’s RMS, Verisk/AIR, or similar tools.
Strong understanding of property insurance, reinsurance, catastrophe model structure, exposure data, financial terms, and model uncertainty.
Strong data analysis skills, including advanced Excel and experience working with large exposure datasets.
Ability to build repeatable processes in a developing capability area and collaborate across actuarial, underwriting, reinsurance, IT/data, finance, and risk management teams.
Present information in a logical, well-strucutred manner to explain recommendations or support the review of information.
Strong organizational and time management skills, with the ability to manage multiple or competing priorities while meeting deadlines. Flexible and adaptable to changing business needs.
Proven ability to define problems, gather and analyze data, establish facts, and draw sound conclusions. Skilled at leveraging appropriate resources to develop and implement effective solutions.
Must be able to maintain confidentiality and protect propriety information.
Demonstrated ability to adhere to all Grinnell Mutual policies and incorporate Grinnell Mutual core values in all areas work.

Nice To Haves

Preferred experience with severe convective storm, winter storm, hurricane, earthquake, or other catastrophe perils.
Preferred experience supporting reinsurance placement, treaty pricing, accumulation management, or cedant submission analysis.
Preferred experience with SQL, Python, R, GIS/geospatial tools, reporting automation tools, or dashboards.
Familiarity with rating agency capital models, ORSA, economic capital modeling, or enterprise risk management.
Experience with catastrophe model validation, sensitivity testing, model governance, or internal view-of-risk development.
Professional designations or coursework such as CCRA, ARe, CPCU, actuarial credentials, or other relevant industry training.

Responsibilities

Operate catastrophe modeling platforms such as Moody’s RMS, Verisk/AIR, or similar tools.
Produce recurring portfolio, cedant, and event-response analytics, including AAL, PML, OEP/AEP curves, tail-risk metrics, scenario results, and accumulation views.
Evaluate model assumptions, limitations, and key drivers of results.
Help develop and maintain Grinnell Mutual’s internal view of catastrophe risk.
Prepare, validate, geocode, and organize exposure data for catastrophe modeling.
Identify data gaps and improve exposure data standards for internal portfolios and cedant submissions.
Build repeatable tools, reports, queries, and dashboards to improve consistency, efficiency, and auditability.
Identify opportunities to use automation, AI-assisted workflows, scripts, or dashboards to streamline modeling and reporting.
Support Broker-Assumed Reinsurance, Farm Mutual Reinsurance, Direct Commercial Lines and corporate reinsurance purchasing through modeled loss costs, tail metrics, and scenario testing.
Analyze cedant exposure submissions for quoting, limit setting, treaty evaluation, and accumulation management.
Partner with underwriting and pricing teams to incorporate catastrophe insights into risk selection, pricing, coverage terms, and portfolio management.
Provide catastrophe model outputs for economic capital modeling, stress testing, ORSA reporting, BCAR/rating agency analysis, and enterprise risk management.
Translate technical results into clear business implications for leadership and cross-functional stakeholders.
Performs other duties as assigned.