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Catastrophe Modeling Data Analyst Jobs (NOW HIRING)

SageSure

Senior Catastrophe Risk Analyst

Chicago, IL · On-site

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Senior Catastrophe Risk ... Analyze large datasets (e.g., exposure data, claims data, hazard data) to assess model performance ...

Arrowhead Programs

$170K - $190K/yr

Experience with data manipulation and analysis using software such as SQL, R, or Python ... Experience with stochastic modeling tools such as MetaRisk or ReMetrica desired. * Experience with ...

Brown & Brown, Inc.

$170K - $190K/yr

Experience with data manipulation and analysis using software such as SQL, R, or Python ... Experience with stochastic modeling tools such as MetaRisk or ReMetrica desired. * Experience with ...

Tmhcc

Lead Catastrophe Risk Analyst

Duluth, GA · Hybrid

Lead Catastrophe Risk Analyst Location: Duluth, GA (Onsite/ Hybrid Schedule) Position Type ... Provide analyses of property insurance exposure data as expert user of cat models. * Assess data ...

Tmhcc

Senior Catastrophe Risk Analyst

Duluth, GA · Hybrid

Senior Catastrophe Risk Analyst Location: Duluth, GA (Onsite/ Hybrid Schedule) Position Type ... Provide analyses of property insurance exposure data as expert user of cat models. * Assess data ...

Tokio Marine HCC International

Provide analyses of property insurance exposure data as expert user of cat models. * Assess data quality of exposure data. * Manipulate and prepare large databases of property insurance data to run ...

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Catastrophe Modeling Data Analyst information

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$34K

$82.6K

$136K

How much do catastrophe modeling data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for catastrophe modeling data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Catastrophe Modeling Data Analyst vs Actuarial Analyst?

AspectCatastrophe Modeling Data AnalystActuarial Analyst
Required CredentialsBachelor's in risk management, statistics, or related field; some certificationsBachelor's in mathematics, statistics, or actuarial science; actuarial exams often pursued
Work EnvironmentInsurance companies, reinsurance firms, risk modeling firmsInsurance companies, consulting firms, financial services
Industry UsageFocuses on analyzing catastrophe risk data and modelingFocuses on pricing, reserving, and financial analysis using statistical models

The main difference is that a Catastrophe Modeling Data Analyst specializes in analyzing and modeling catastrophe risk data, while an Actuarial Analyst focuses on financial modeling, pricing, and reserving using statistical methods. Both roles require strong analytical skills and related credentials, but their core responsibilities and industry focus differ.

What does a catastrophe modeling data analyst do?

A catastrophe modeling data analyst evaluates data related to natural disasters such as hurricanes, earthquakes, and floods to assess potential risks and financial impacts. They use specialized software and statistical techniques to develop models that help insurance companies and risk managers make informed decisions about risk exposure and policy pricing.

What are popular job titles related to Catastrophe Modeling Data Analyst jobs?

For Catastrophe Modeling Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Catastrophe Modeling Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Catastrophe Risk Modeling Specialist

Warren, NJ • On-site

MSIG Holdings USA, Inc.
See more jobs at MSIG Holdings USA, Inc.external

$95K - $125K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

MSIG USA continues to grow!
Company Overview:
MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.
Location
Location: Hybrid role; Atlanta, GA preferred. Warren, NJ or NY considered. Other MSMM office locations may be possible.
Position Overview:
As an expanding and critical area in the insurance industry, catastrophe modeling plays a key role in protecting insureds from the impacts of climate change. MSMM is seeking a motivated individual with strong analytical skills and an interest in quantitative analysis to join our Catastrophe Modeling team.
The Catastrophe Modeling Analyst will work closely with experienced modelers to perform account-level modeling for the company's property portfolio using vendor software (AIR) and internal tools. This role involves collecting, analyzing, and ensuring the quality of property data, as well as supporting underwriters with outputs needed for informed risk decisions. Additional responsibilities include portfolio-level analysis for PML calculations, property aggregations, profitability, and trend indications.
Essential Functions:
  • Perform account-level property catastrophe modeling and assist underwriters with day-to-day requests.
  • Review and validate high-impact account modeling results; support initiatives to improve modeling efficiency.
  • Identify and monitor aggregate exposures to mitigate potential losses from extreme events (e.g., hurricanes, earthquakes, wildfires).
  • Track and analyze underwriting data to manage MSMM's property portfolio.
  • Maintain data quality through regular file and portfolio reviews and completion of QC checklists.
  • Collaborate with underwriting, reinsurance, and management teams to implement best practices for data integrity.
  • Provide modeling support for field underwriters and resolve related issues.
  • Deliver data and modeling results for Ceded Re, Actuarial, and Finance teams; complete ad hoc projects as needed.
  • Support monthly and quarterly modeling processes.
  • Assist in developing internal/external training programs related to catastrophe management.
  • Enhance reporting capabilities and create new reports for senior leadership.

Education & Experience:
  • 2-3 years of experience in catastrophe modeling, preferably in commercial lines with portfolio modeling focus.
  • Proficiency in Verisk CAT modeling; Moody's experience is a plus.
  • Strong understanding of commercial property insurance terms and ability to accurately model complex structures.
  • Advanced skills in Excel and SQL; experience with Python, VBA, or R is beneficial.
  • Excellent communication skills to present complex analyses to business stakeholders.
  • Highly organized with attention to detail; ability to manage multiple priorities and deliver high-quality work on time.
  • Bachelor's degree in a quantitative field (mathematics, data science, computer science, or physical sciences).

Salary: The base pay range is $95,000.00 - 125,000.00. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.
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It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!
It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.

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