Catastrophe Modeling Analyst

Job Expectations:

• Position Type: Experienced - Junior/Mid
• Employment Type: Full-Time; Permanent (Direct Hire)
• Work Setup & Location: Hybrid (3-4x onsite/week) - Ortigas Pasig
• Work Schedule: Weekdays; Night Shift (US)
• Headcounts Needed: 10 FTEs
• Industry: Business Process & Services (BPO)

About the Job:

We are looking for an Insurance - Catastrophe Modeling Analyst to join our clients team and support catastrophe modeling insurance risk analysis and exposure management this role you will analyze US non-life insurance data prepare and validate property and exposure information for CAT modeling assess natural disaster risks and help identify potential losses and risk concentrations across different locations.

Key Responsibilities:

• Analyze US non-life insurance data including property policy coverage and location information.
• Clean and validate data to ensure accurate addresses ZIP codes property details and geographic information.
• Prepare insurance data for Catastrophe (CAT) Modeling.
• Analyze property exposure to hurricanes tornadoes earthquakes floods and severe storms.
• Identify risk concentrations and potential losses across different US states and locations.
• Review CAT modeling results and prepare risk exposure and portfolio reports.
• Perform data quality checks and investigate data discrepancies and issues.
• Work with large datasets to identify trends risks and data errors.
• Collaborate with clients underwriters and internal teams to resolve data and technical issues.
• Support process improvement initiatives through automation documentation and other efficiency improvements.

Qualifications:

• Bachelors degree in Mathematics Statistics Computer Science or a related field.
• 1 years of experience in US Non-Life Insurance such as Property Commercial Insurance Homeowners or related areas.
• Experience in CAT Modeling Exposure Management Insurance Risk Analysis Underwriting or Insurance Data Analysis.
• Strong understanding of US geography including states cities ZIP codes addresses and property locations.
• Knowledge of natural disaster risks including hurricanes tornadoes earthquakes floods and severe storms.
• Experience handling insurance policy property coverage and location data.
• Strong MS Excel skills including Pivot Tables XLOOKUP/VLOOKUP and INDEX-MATCH.
• Experience with RMS AIR/Touchstone Verisk or similar CAT modeling software is highly preferred.
• Experience with Power BI SQL Python or VBA is an advantage.
• Can start immediately if possible.

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