Catastrophe Modeler / Risk Analyst

Advanced Risk Analytics

2 - 6 years

3 - 7 Lacs

pune

Posted:21 hours ago| Platform:

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Skills Required

catastrophe modeling risk analysis data analysis apqp arcgis data validation reinsurance dashboards sql kaizen data quality r excel underwriting fmea vba qgis poka yoke ppap python statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Day-to-day responsibilities include but not limited to:
Conduct catastrophe modeling of property insurance portfolios using industry-standard tools (e.g., RMS, AIR, CoreLogic).
Analyze exposure data to identify risk concentrations, accumulations, and diversification opportunities.
Collaborate with underwriting and actuarial teams to assess risk on individual accounts and overall portfolio.
Develop and maintain risk metrics, dashboards, and portfolio summaries to support management decisions.
Support reinsurance placement by providing catastrophe loss estimates, PML (Probable Maximum Loss) and AAL (Average Annual Loss) analyses.
Validate and enhance data quality by coordinating with internal teams to ensure completeness and accuracy of exposure data.
Assist in scenario testing, event response modeling, and real-time catastrophe monitoring during active events.
Prepare reports and presentations for senior management, reinsurers, and regulatory bodies.
Stay updated on emerging modeling methodologies, regulatory requirements (e.g., NAIC, Florida OIR), and industry best practices.
Bachelors or Masters degree in Actuarial Science, Statistics, Data Science, Geography, Engineering, or related field.
2-6 years of experience in catastrophe modeling, risk analysis, or reinsurance analytics (insurance or reinsurance sector preferred).
Proficiency with RMS RiskLink/One, AIR Touchstone, or CoreLogic modeling platforms.
Strong technical skills in SQL, Python, R, or Excel VBA for data analysis and automation.
Familiarity with geospatial analysis tools (ArcGIS, QGIS) is a plus.

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