Insurance: Pricing Models
Description
Full spectrum of traditional and digital pricing models in insurance—actuarial science, risk-based, dynamic, AI/ML-powered, peer-based, and value-based pricing.
Learning Objectives
IT professionals will master insurance pricing fundamentals and innovations, supporting regulatory, actuarial, and digital product pricing with technology platforms.
Topics (6)
Life table, mortality, morbidity, expense, reserve, and regulatory actuarial functions for rate determination.
Risk scoring, multi-factor rating, underwriting data, and digital risk modeling technologies.
Pay-as-you-drive/pay-how-you-drive auto, wellness-linked health, on-demand travel, sensor-driven property pricing.
Predictive modeling, continual learning, explainable AI, compliance and fair pricing strategies in digital insurance.
Crowdfunding, peer-to-peer, value perception-based adjustors, and their platform requirements and regulatory challenges.
A/B testing, experimental design, data analytics, CLI/UX for price communication on digital channels.