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Catastrophe Model Jobs (NOW HIRING)

Use vendor catastrophe modeling software to provide price indications for reinsurance alternative structures. * Collaborate with junior team members in basic aspects of property (re)insurance and ...

Use vendor catastrophe modeling software to provide price indications for reinsurance alternative structures. * Collaborate with junior team members in basic aspects of property (re)insurance and ...

Evaluate third-party catastrophe models (e.g., RMS, Verisk, CoreLogic) and contribute to the development of internal risk views. * Analyze large datasets (e.g., exposure data, claims data, hazard ...

$170K - $190K/yr

Model Execution & Interpretation Execute catastrophe models, interpret results (e.g., exceedance probability curves, average annual loss, return periods), and identify key risk drivers. Portfolio ...

$170K - $190K/yr

Analyze and model complex reinsurance treaties (e.g., proportional, non-proportional, retrocessional) using industry-standard catastrophe models (e.g., Verisk Touchstone/Touchstone Re, RMS RiskLink ...

... model and quantify natural catastrophe risk. Additionally, the analyst will collaborate with team members to incorporate reinsurance structures into modeling and exposure management, ensuring ...

... model and quantify natural catastrophe risk. Additionally, the analyst will collaborate with team members to incorporate reinsurance structures into modeling and exposure management, ensuring ...

... model and quantify natural catastrophe risk. Additionally, the analyst will collaborate with team members to incorporate reinsurance structures into modeling and exposure management, ensuring ...

... model and quantify natural catastrophe risk. Additionally, the analyst will collaborate with team members to incorporate reinsurance structures into modeling and exposure management, ensuring ...

Risk Manager CAT Modeling

Hartford, CT Β· On-site

$112K - $168K/yr

Communicate with business segments regarding catastrophe model output and key modeling initiatives. * Oversee monthly, quarterly, and annual reporting for key catastrophe modeling metrics. * Interact ...

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Catastrophe Model information

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How much do catastrophe model jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for catastrophe model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is a catastrophe model?

A catastrophe model is a computer-based tool used to estimate the potential financial losses from natural or man-made disasters such as hurricanes, earthquakes, or terrorist attacks. These models combine scientific, engineering, and insurance data to simulate possible events and their impact on properties or assets. Insurers, reinsurers, and risk managers rely on catastrophe models to assess risk, set premiums, and make informed decisions about underwriting and risk management. The results help businesses and governments prepare for and mitigate the effects of catastrophic events.

How does a catastrophe modeler typically collaborate with underwriting and risk management teams?

Catastrophe Modelers work closely with underwriting and risk management teams by providing detailed analyses of potential losses from natural disasters or other large-scale events. They interpret model outputs, communicate risk estimates, and help underwriters assess policy terms and pricing. Regular meetings and data-sharing sessions are common to ensure that risk assessments are up-to-date and align with the company’s risk appetite. This collaboration helps inform strategic decisions and ensures that all teams are prepared for emerging threats.

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 solid background in mathematics, statistics, and risk analysis, often supported by a degree in a quantitative field such as actuarial science, engineering, or data science. Familiarity with catastrophe modeling software (like RMS or AIR), GIS systems, and programming languages such as Python or SQL is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help translate complex model outputs into actionable insights for stakeholders. These competencies are crucial for accurately assessing risks, supporting decision-making, and helping organizations manage exposure to catastrophic events.

What is the difference between Catastrophe Model vs Actuary?

AspectCatastrophe ModelActuary
Required CredentialsTypically no formal certification, but knowledge of modeling and insuranceProfessional certification (e.g., ASA, FSA)
Work EnvironmentRisk modeling firms, insurance companies, consultingInsurance companies, consulting firms, financial institutions
Industry UsageUsed for risk assessment and pricing in insuranceUsed for pricing, reserving, and risk management in insurance

While both roles involve risk assessment in the insurance industry, a Catastrophe Model focuses on developing and applying models to predict large-scale events, whereas an Actuary uses statistical methods and certifications to evaluate overall risk and financial stability. Understanding these differences helps clarify career paths and industry functions.

How to get into catastrophe model?

To pursue a career as a catastrophe modeler, candidates typically need a background in fields like actuarial science, engineering, or mathematics, along with strong analytical and programming skills. Gaining experience with catastrophe modeling software and obtaining relevant certifications, such as the Associate of the Casualty Actuarial Society (ACAS), can improve job prospects. Entry-level roles often require a bachelor's degree and knowledge of risk assessment and insurance industry practices.

What do catastrophe modelers do?

Catastrophe modelers analyze data to estimate potential losses from natural or man-made disasters, such as hurricanes, earthquakes, or floods. They develop and run complex computer models using specialized software to assess risk and inform insurance, reinsurance, and risk management decisions.
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What other helpful pages are available for Catastrophe Model?

Other pages related to Catastrophe Model:

Infographic showing various Catastrophe Model job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Catastrophe Analyst

Jacksonville, FL

Full-time

Re-posted 5 days ago


Key responsibilities

  • Assist team members in gathering, preparing, and reviewing exposure data for catastrophe analyses.

  • Perform catastrophe risk analytics, including loss and accumulation analyses, using vendor catastrophe modeling software.

  • Collaborate with junior team members and internal/external partners to interpret data, prepare reports, and communicate findings.


Job description

This position is for a professional contributor in catastrophe risk management, who works under moderate supervision. The individual will assist other team members in gathering and preparing data for catastrophe analyses, by reviewing exposure data for accuracy, validity, and identifying abnormalities. The candidate will perform catastrophe risk analytics necessary for reinsurance evaluation under the guidance of senior team members. The position requires a self-starter who manages moderately complex analyses in partnership with internal and external teams to confidently communicate needs, findings, and recommendations. The candidate should have a willingness to continually develop skills in risk management and the (re)insurance industry.

Responsibilities:

Key responsibilities will include, but not limited to:

  • Work directly with underwriters to gather and prepare quarterly portfolio rolls up for catastrophe modeling. Assess the data quality to ensure the data used in the analysis is fit for purpose.
  • Analyze changes in exposure and the associated impact of catastrophe model results. Discuss reasonableness of loss distribution results with underwriting team and senior management.
  • Perform loss and accumulation analyses using vendor catastrophe modeling software, extract and transform outputs to calculate risk exposure and losses for reporting.
  • Analyze how the distribution of results and relevant risk measures changes the application of various proposed reinsurance alternatives. Use vendor catastrophe modeling software to provide price indications for reinsurance alternative structures.
  • Collaborate with junior team members in basic aspects of property (re)insurance and especially catastrophe modeling, including how to prepare data and interpreting insurance terms to catastrophe model.
  • Incorporate data into spatial visualization tools to assist in monitoring aggregations and profitability analytics suited to company underwriting objectives and corporate portfolio objectives.
  • Assist senior team members in preparing and formatting summaries, presentations, and reports into clear, concise deliverables of potential risk and loss results.
  • Willingness to consciously strengthen relationships with internal and external partners. Take part in integration and coordination of how internal tools are developed and delivered.
  • Perform ad hoc analytics for new business, catastrophe event response, rating agency and regulatory disclosures, data augmentation, and data quality scoring.

The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job.  They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.

Qualifications:

  • Minimum of 3 years of experience working with commercial catastrophe model Verisk. Familiarity with Moody’s RMS, or KatRisk, a plus.
  • Bachelor’s degree in mathematics, economics, engineering, and/or related natural science.
  • Experience with Microsoft SQL, additional programming knowledge beneficial (e.g., Python or R) or experience working with Alteryx.
  • Some knowledge of data warehousing (e.g., Snowflake).
  • Geospatial analytical experience (i.e., GIS software) is beneficial
  • Proficient in using Microsoft technology (e.g., Office 365 apps).
  • Fundamental knowledge in (re)insurance industry.

Job Posting Disclaimer

Fortegra will never request financial or sensitive information such as your bank account information, social security number, or other non-publicly available information for any purpose during the application and interview process. All official communications from our Talent Acquisition team will come from our email domain address “@fortegra.com”. If you receive a suspicious message, unsolicited job offer or would like to verify the legitimacy of any communication about a position, please contact our Human Resources department at HumanResources@fortegra.com. 

Please be aware of job fraud(s) – all correspondence emails regarding your candidacy will come from our Fortegra.com email address. Thank you.

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