aptura - Catastrophe & Exposure Management Expert for AI Research Project

• Design realistic catastrophe and exposure management tasks: catastrophe modeling exercises, accumulation assessments, portfolio exposure reviews, and reinsurance exposure decisions without clean answers. • Write evaluation rubrics that reflect how experienced catastrophe and exposure professionals reason through data quality, model assumptions, accumulation risk, PML interpretation, and reinsurance implications. • Review AI-generated catastrophe analyses, exposure assessments, and portfolio risk evaluations, identifying where models misinterpret catastrophe outputs, overlook accumulation risks, or misuse exposure data. • Build reference catastrophe studies and benchmark exposure analyses that set the standard models to be tested. • Communicate catastrophe risk assessments, exposure judgments, and rationale clearly in writing. • How Engagements Work • Fully remote, part-time, and flexible. Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer. • You May Be A Good Fit If: • 5–8+ years in catastrophe modeling or exposure management at an insurer, reinsurer, broker, or modeling vendor. • You’ve managed catastrophe exposure, accumulation analysis, PML reporting, or portfolio risk assessments that informed underwriting or reinsurance decisions. • Hands-on experience with Moody’s RMS and/or Verisk Touchstone, and familiarity with PML, AEP, and OEP analysis. • ACII, a catastrophe modeling qualification, or a numerate degree (preferred, not required). • You can explain what catastrophe model outputs do and do not tell you clearly enough to teach the reasoning, not just the outcome.