Catastrophe Portfolio Modeling Manager – North America
AIG
United States
Base: $120,000-$150,000; bonus: eligible per incen...
7+ years catastrophe portfolio modeling experience
Proficiency with rms or air modeling software
Strong sql skills and understanding of rms back-end schema
The primary responsibility is to lead catastrophe portfolio modeling for select North America Commercial and Specialty Property business lines
Job Summary
The primary responsibility is to lead catastrophe portfolio modeling for select North America Commercial and Specialty Property business lines.
The role requires developing automated processing frameworks and providing data-driven insights to support underwriting and portfolio management strategies.
AIG offers a comprehensive Total Rewards Program focused on health, wellbeing, financial security, and professional development.
Matching Summary
Match Score: 85
The primary responsibility is to lead catastrophe portfolio modeling for select North America Commercial and Specialty Property business lines.
Salary
Base: $120,000-$150,000; Bonus: Eligible per incentive plan terms; Benefits: Competitive package including health, wellbeing, and financial security
Skills & Requirements
Must-have
7+ years catastrophe portfolio modeling experience
Proficiency with RMS or AIR modeling software
Strong SQL skills and understanding of RMS back-end schema
Experience with reinsurance modeling tools like Metarisk or Igloo
Programming proficiency in R or Python
Nice-to-have
Progress towards CPCU industry qualification
Experience with PowerBI, Qlikview, or Tableau
Knowledge of internal capital models and regulatory returns
Understanding of reinsurance contracts and structures
Experience in multinational matrix organizational structures
Key Requirements
Bachelor's degree in an analytical field (Mathematics, Statistics, Finance)
Masters degree in an analytical field preferred
Excellent analytical and problem-solving skills
Deep knowledge of property insurance and reinsurance
Ability to communicate technical concepts to non-technical audiences