Catastrophe Modeling Analyst - Hybrid (Air/Verisk)

Msig USA; Atlanta (GA); Hybrid; USD 125,000 - 140,000; Full time

Job summary

MSIG USA in Atlanta is seeking a Catastrophe Modeling Analyst to join our growing Catastrophe Modeling team. You will work with vendor software (AIR) and internal tools to model the company’s property portfolio, collect and validate data, and support underwriters with risk decisions.

The role requires 2–3 years in catastrophe modeling, strong Excel/SQL skills, and programming knowledge (Python/VBA/R). Collaboration with underwriting, reinsurance, and finance teams is essential, along with

Qualifications

• 2–3 years of catastrophe modeling experience.
• Proficiency with Verisk CAT Modeling; Moody’s experience is a plus.
• Strong understanding of commercial property terms and data modeling concepts.
• Excel/SQL proficiency; programming skills (Python/VBA/R) are beneficial.

Responsibilities

• Perform account-level property catastrophe modeling and assist underwriters with day-to-day requests.
• Review and validate high-impact modeling results; support efficiency improvements.
• Identify and monitor aggregate exposures to mitigate losses from extreme events.
• Track and analyze underwriting data to manage MSIG USA’s property portfolio.
• Maintain data quality through QC checks and portfolio reviews.
• Collaborate with underwriting, reinsurance, and management on data integrity.
• Provide modeling support for field underwriters and ad hoc projects.
• Support monthly and quarterly modeling processes.

Skills

Catastrophe modeling

Strong analytical skills

Excellent communication

Attention to detail

Education

Bachelor’s degree in a quantitative field

Tools

SQL

Excel

Python

VBA

R

Verisk CAT Modeling

Job description

MSIG USA in Atlanta is seeking a Catastrophe Modeling Analyst to join our growing Catastrophe Modeling team. You will work with vendor software (AIR) and internal tools to model the company’s property portfolio, collect and validate data, and support underwriters with risk decisions.

The role requires 2–3 years in catastrophe modeling, strong Excel/SQL skills, and programming knowledge (Python/VBA/R). Collaboration with underwriting, reinsurance, and finance teams is essential, along with