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: Pension risk transfer (PRT) has increasingly been a focus of private sector pension plan sponsors over the past decade. The U.S. PRT market had a record-breaking 2021. There are a few forms of PRT, and the data challenge applies to all of them. As an insurer, winning the PRT business is only the first step. There are more challenges when incorporating the data from an outdated admin system into the valuation system. A lot of manual intervention is needed for many companies, which brings different issues. Under LDTI, insurers also need better assumption management. By attending the session, you will: - Understand better different types of penstion risk transfer. - Understand the common challenges insurers face when taking on new PRT business. - Comprehend data-driven solutions that leverage different technologies to automate the reporting process. - Learn additional requirements related to PRT under LDTI.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.