Description: Internal modernization initiatives and external changes of the financial reporting regulations (e.g., LDTI, IFRS 17) increase the amount of validation activities for actuarial models. In addition, the use of predictive analytics in actuarial modeling requires a different set of validation skillsets/techniques in model validation. These internal and external forces call for a structured, streamlined and robust model validation practice.

Description: Recent regulatory developments and ASOP 56 have reinforced the need for robust governance over actuarial models, but there is no one-size-fits-all solution. Design and implementation of an efficient and sustainable model governance framework requires customizing various aspects (e.g., risk rating system, ownership and responsibilities, usage of testing and documentation templates) to fit each company's unique culture and organizational structure.