Catastrophe Modeling Analyst: Data Quality & Insights

Arch Insurance Group Inc.; Cebu City; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Arch Global Services (Philippines) Inc. is seeking a Catastrophe Modeling Analyst to manage exposure data, validate against sources, and prepare outputs for catastrophe models like RMS and AIR. The role supports per-account modeling and data integrity across underwriting and reinsurance teams.

The candidate will develop data cleansing techniques, acquire data from multiple sources, and identify trends to improve workflow efficiency and decision making.

Qualifications

• Proficient in Excel and modeling software (RMS, AIR, EQE).
• Experience in data quality review and exposure data profiling.
• Knowledge of statistics and reporting for large datasets.
• Experience with querying and presenting data to stakeholders.

Responsibilities

• Review and profile property and casualty exposure data for completeness and quality.
• Validate exposure data against bordereaux, claims, and placements to identify discrepancies.
• Prepare data outputs for reinsurers and catastrophe models (RMS/AIR).
• Process insured exposure schedules for per-account modeling with data integrity checks.
• Interpret data and report to underwriting, actuarial, reinsurance, and business teams.
• Develop data cleansing techniques and workflows to improve processing efficiency.
• Acquire data from primary/secondary sources and maintain exposure databases.
• Identify trends in exposure and loss data sets.
• Filter and scrub data to fix coding and data-quality issues.
• Identify process improvements for catastrophe modeling workflows.

Skills

Excel

Modeling software

SQL

MS Access

Analytical skills

Communication skills

Statistics knowledge

Data interpretation

Education

BS in Geo Science, Meteorological Engineering, or related discipline

Tools

RMS

AIR

EQE

MS Access

Job description

Arch Global Services (Philippines) Inc. is seeking a Catastrophe Modeling Analyst to manage exposure data, validate against sources, and prepare outputs for catastrophe models like RMS and AIR. The role supports per-account modeling and data integrity across underwriting and reinsurance teams.

The candidate will develop data cleansing techniques, acquire data from multiple sources, and identify trends to improve workflow efficiency and decision making.