Catastrophe Portfolio Modeling Manager – North America

AIG

United States
Base: $120,000-$150,000; bonus: eligible per incen...
Hybrid
7+ years catastrophe portfolio modeling experience
Proficiency with rms or air modeling software
Strong sql skills and understanding of rms back-end schema
AIG is seeking a Catastrophe Portfolio Modeling Manager to lead catastrophe modeling efforts for its North American Insurance businesses. The role focuses on managing portfolio exposure, developing automated reporting frameworks, and collaborating with various internal and external stakeholders

Job Summary

  • The primary responsibility is to lead catastrophe portfolio modeling for select North America Commercial and Specialty Property business underwritten.
  • 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

AIG is seeking a Catastrophe Portfolio Modeling Manager to lead catastrophe modeling efforts for its North American Insurance businesses. The role focuses on managing portfolio exposure, developing automated reporting frameworks, and collaborating with various internal and external stakeholders.

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 Remetrica
  • Ability to communicate technical concepts to non-technical audiences

Nice-to-have

  • Progress towards CPCU industry qualification
  • Experience with PowerBI, Qlikview, or Tableau
  • Understanding of internal capital models and regulatory returns
  • Programming proficiency in R or Python
  • Experience building data frameworks and governance

Key Requirements

  • Bachelor's degree in analytical field (Mathematics, Statistics, Finance)
  • Masters degree in analytical field preferred
  • US work authorization required due to office-based role
  • In-depth knowledge of catastrophe model numerical methods and science

Work Rights

Not specified

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