Description: We will determine the role of risk function in evaluating operational risks associated with the implementation of LDTI and any system conversions. Are all models validated by the risk function before they are productionalized and results used by management to make business decisions? Does the risk function play a part in to assist finance, actuarial and investor relations in communicating changes and volatility resulting from LDTI? If not, should it? We will articulate the role that risk functions play in being part of large transformation from the start as a stakeholder/input provider to subsequently being an independent reviewer (i.e., second Line of defense).

Description: Economic Scenario Generator - Investment Section Web Series - Risk Neutral

Description: This session series is sponsored by Hannover Re Session 2 - COVID-19: Financial Impacts and Re-shaping Risk and Capital Management Practices COVID-19 has posed significant challenges to health insurers and providers to meet profit targets and maintain strong balance sheets and capitalization levels. As a result, companies are facing an ever-increasing need to better integrate their risk and capital management practices across the enterprise and evaluate a broader set of tools to manage and optimize their capital and liquidity needs. This second session of the COVID-19 series will help you examine the financial impact that COVID-19 has had on the health industry and review how companies are evolving their financial and capital management practices to achieve their strategic goals. It will also outline how structured reinsurance has emerged as an increasingly utilized form of managing capital. By attending this session, you will be able to explain how COVID-19 has impacted the financial performance and capitalization of the health insurance industry, and will gain a basic understanding of alternative ways of managing and optimizing capital, including the use of structired reinsurance.

Description: This session discussion is about methods for determining and adjusting contingency surplus. From Record of the Society of Actuaries Vol. 15, No. 2.

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.