Catastrophe Risk Modeling Specialist

Catastrophe Modeling Analyst

MSIG USA continues to grow!

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: 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:

• 23 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.

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.