Catastrophe Modeling Analyst II - Data & Automation

Everest; New York (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401k match

Paid holidays

PTO

Job summary

Everest Global Services, Inc. is seeking a Catastrophe Modeling Analyst II in New York to join the Catastrophe & Exposure Management team.

Working with a group of skilled Catastrophe Modelers, you will support underwriting decisions for Everest's Global Wholesale & Specialty business. Responsibilities include reviewing client and broker data for quality, augmenting data for better risk assessment, using catastrophe models and automation tools, developing and maintaining analytical tools with

Qualifications

• 2-3 years of P&C experience in catastrophe modeling or Insurance/Reinsurance
• Fluent SQL programming
• Experience with Python or C# for automating data flows
• Excellent communication skills with business colleagues and senior management
• Bachelor’s degree in STEM, finance, economics, business or computer science
• Everest does not provide visa sponsorship; permanent US employment authorization required

Responsibilities

• Provide catastrophe risk assessment to underwriters and support underwriting decisions
• Review data for quality assessment and data augmentation to improve risk assessment
• Leverage catastrophe models and analytical tools to deliver timely risk insights
• Develop, integrate, and maintain tools utilizing programming languages
• Assist senior leaders with evaluating new CAT market opportunities and technologies

Skills

SQL

Python

C#

Data cleansing

Communication

Education

Bachelor’s degree in STEM, finance, economics, business or computer science

Tools

Catastrophe modeling tools

Job description

Everest Global Services, Inc. is seeking a Catastrophe Modeling Analyst II in New York to join the Catastrophe & Exposure Management team.

Working with a group of skilled Catastrophe Modelers, you will support underwriting decisions for Everest's Global Wholesale & Specialty business. Responsibilities include reviewing client and broker data for quality, augmenting data for better risk assessment, using catastrophe models and automation tools, developing and maintaining analytical tools with