Insurance – Catastrophe Modeling Senior Analyst

Private Advertiser; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Private Advertiser is seeking a data-driven risk analytics professional for US non-life insurance data work in the Philippines. You will analyze CAT-related data, cleanse and validate inputs, and support underwriting and policy data workflows.

The role emphasizes strong Excel, BI tooling, and programming skills with familiarity in RMS/AIR/Verisk tools. A mathematics- or analytics-focused degree is preferred, with attention to detail and problem-solving aptitude.

Qualifications

• 2+ years of experience in US Non-Life Insurance (Property, Commercial Insurance, Homeowners, etc.).
• 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 disasters such as hurricanes, tornadoes, earthquakes, floods, and severe storms.
• Experience handling insurance policy, property, coverage, and location data.
• Experience with data cleansing, data validation, geocoding, and checking data accuracy.
• 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.
• Strong mathematical, analytical, and problem-solving skills with excellent 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 a related field.

Skills

CAT Modeling

Exposure Mgmt

Risk Analysis

Underwriting

Geography Knowledge

Data Cleansing

Data Validation

Pivot Tables

XLOOKUP

VLOOKUP

RMS

Air/Touchstone

Verisk

Power BI

SQL

Python

VBA

Excel

Education

Mathematics

Statistics

Actuarial Science

Data Analytics

Tools

RMS

AIR/Touchstone

Verisk

Power BI

SQL

Python

Excel

Job description

Job Qualifications:

• Minimum 2 years of experience in US Non-Life Insurance (Property, Commercial Insurance, Homeowners, etc.).

• 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 disasters such as hurricanes, tornadoes, earthquakes, floods, and severe storms.

• Experience handling insurance policy, property, coverage, and location data.

• Experience with data cleansing, data validation, geocoding, and checking data accuracy.

• 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.

• Strong mathematical, analytical, and problem-solving skills with excellent 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 a related field.