Catastrophe Modeling Analyst: Risk & Data Analytics

Private Advertiser; Philippines; On-site; PHP 670,000 - 1,004,000; Full time

Job summary

Private Advertiser is seeking professionals in the Philippines with 1-2 years of US non-life insurance experience. The role emphasizes CAT modeling, exposure management, and data analysis across policy and location data.

Candidates should be proficient in Excel and have exposure to Power BI, SQL, Python, or VBA. A quantitative background in mathematics or actuarial science is preferred. This position offers growth in a specialized analytics team.

Qualifications

• 1-2 years experience in US Non-Life Insurance (Property, Commercial Insurance, Homeowners).
• Experience in CAT Modeling, Exposure Management, Insurance Risk Analysis, Underwriting, or Insurance Data Analysis.
• Strong understanding of US geography (states, cities, ZIP codes, addresses, property locations).
• Knowledge of natural disaster risks (hurricanes, tornadoes, earthquakes, floods, severe storms).
• Experience handling insurance policy, property, coverage, and location data.
• Strong MS Excel skills (Pivot Tables, XLOOKUP/VLOOKUP, INDEX-MATCH).
• Experience with RMS, AIR/Touchstone, Verisk or similar CAT modeling software.
• Strong mathematical, analytical, and problem-solving skills with attention to detail.
• Experience with Power BI, SQL, Python, or VBA is an advantage.
• Bachelor’s or Master’s degree in Mathematics, Statistics, Actuarial Science, Insurance, Engineering, Geography, Data Analytics, or related field.

Skills

MS Excel

Pivot Tables

XLOOKUP/VLOOKUP

INDEX-MATCH

Power BI

SQL

Python

VBA

Mathematical / Analytical

Education

Bachelor’s degree in Mathematics/Statistics/Actuarial Science/Insurance/Engineering/Geography/Data Analytics

Master’s degree in a related field (preferred)

Tools

RMS

AIR/Touchstone

Verisk

CAT modeling software

Job description

Private Advertiser is seeking professionals in the Philippines with 1-2 years of US non-life insurance experience. The role emphasizes CAT modeling, exposure management, and data analysis across policy and location data.

Candidates should be proficient in Excel and have exposure to Power BI, SQL, Python, or VBA. A quantitative background in mathematics or actuarial science is preferred. This position offers growth in a specialized analytics team.