Base: $105,000-$150,000 depending on location; bon...
Hybrid
6+ years catastrophe research experience
Hands-on rms model knowledge
Phd or master's in climate science
AIG Australia is seeking a Catastrophe Research Manager to lead its Catastrophe Research & Validation Team. The role involves managing a team of analysts, supporting model validation and development, and collaborating across business functions to enhance AIG’s view of catastrophe risk
Job Summary
This role involves leading model validation and research for natural catastrophes while managing a team based in Bengaluru, India.
The position requires developing AIG's internal view of risk by evaluating vendor models and implementing standardized best practices globally.
Candidates will engage with regulators such as the PRA and Lloyd's to support assessments of climate change impacts on insurance perils.
Matching Summary
Match Score: 85
AIG Australia is seeking a Catastrophe Research Manager to lead its Catastrophe Research & Validation Team. The role involves managing a team of analysts, supporting model validation and development, and collaborating across business functions to enhance AIG’s view of catastrophe risk.
Salary
Base: $105,000-$150,000 depending on location; Bonus: Eligible per incentive plan; Benefits: Comprehensive Total Rewards Program including health and financial security
Skills & Requirements
Must-have
6+ years catastrophe research experience
Hands-on RMS model knowledge
PhD or Master's in Climate Science
Strong R, Python, and SQL programming skills
Experience with climate change impact assessment
Nice-to-have
Experience at Underwriting Company or Broker
Excellent communication of technical concepts
Collaborative and inclusive team culture
Thought leadership on climate variability
Key Requirements
6+ years in catastrophe research or model development
PhD or Master's degree in Climate Science or related field
In-depth knowledge of catastrophe model strengths and weaknesses
Demonstrated experience presenting risk research to stakeholders