Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: Eager to learn more about what an InsurTech is, how they operate in the insurance ecosystem and how actuaries can participate in this ecosystem? Join actuaries, InsurTechs and participants in the ecosystem to discuss the recent research report on InsurTechs by the SOA. At the conclusion of the session, attendees will be able to: • Know more about InsurTechs and how they operate • Understand how insurers work with InsurTechs • Discover how actuaries can participate in this ecosystem • Learn practical lessons from both InsurTechs and actuaries This session is presented by the Entrepreneurial & Innovation Section.

Description: 2021 Life Meeting - Session 8B: Proxy Discrimination in Life Insurance 9.1.21 Recording

Description: The Life Meeting, is the result of combining the Life & Annuity Symposium (LAS) and the Valuation Actuarial Symposium (ValAct). The Life Meeting will offer sessions specific to pricing and valuation as well as sessions on emerging issues relevant to both groups. These common themes include InsurTech, diversity, accounting change and the current economic environment.

Description: This year’s Life Meeting was unable to take place in person as planned in New York City. We are looking forward to the Life Meeting returning to New York City in 2024!

Description: The SOA, with SCOR as the researcher, completed an experience study of post-level term (PLT) lapse and mortality. In the first part of this session, the presenters will cover the key findings of the traditional analysis regarding the shock lapse, the PLT lapse and mortality experience. The remainder of the session will focus on the results of the predictive modeling, which will provide further insights into policyholder behavior in the post-level term period.