Description: Under the new reporting regimes actuaries have the opportunity to become leaders for all aspects of cash flows and related insights, rather than just the reserve change line on the income statement, to help educate the organization and informed business decisions. This session will provide practical examples and scenarios where actuaries take on leadership roles to drive reporting compliance and organizational changes; as well as provide an opportunity to discuss what didn’t work as well when it came to deploying new technologies to the valuation and pricing teams.

Description: Manulife has been preparing on the system development for IFRS17 implementation since 2018. Manulife will start official parallel run in 2022. The purpose of this presentation was to share the valuable system development experience gained over the past 3 years. The practical cases would be shared, to discuss key areas including projection, implementation and expectation. After IFRS17 implementation, on top of being data experts, the future actuary will play an more active role in corporation analysis and strategy planning.

Description: The days of reinsurance treaties bound by a handshake are long gone. Treaties have evolved into complex legal documents. The session will use a recently released study on recapture provisions as a starting point and will expand the discussion to other key treaty provisions. The focus will be on understanding the intentions, concerns and relative positions of both the direct company and the reinsurer so that a mutually beneficial compromise can be explored.

Description: Apart from their operating environment and the core risks they help others mitigate, organizations are largely impacted by behaviors--particularly those of their policyholders. This session builds on the first session in this series by considering how medical advances might influence policyholders, while also considering how agents/brokers, product design, and the economy can also be influencers. Weigh whether and to what extent behavioral uncertainties have been adequately integrated into the firms' assessments of business performance, both past and future. The presenters will also highlight activities being undertaken by firms to influence behaviors, in part building on the second session in this series by considering these activities through a regulatory lens. This session is for anyone interested in enhancing their understanding of uncertainty due to behavioral factors.

Description: Gender recognition laws in the U.S. take on many forms and several states have either adopted laws or they are considering them. Learn more about how non-binary is defined, how the laws are changing to recognize non-binary gender identities and how insurance companies are addressing questions like: Do underwriting guidelines need to be gender specific? How do we address gender neutrality when gender impacts mortality? A panel of speakers will present their case studies and lead a discussion with attendees to start a dialogue about this emerging issue.

Description: Andy Rallis delivers his speech at the presidential luncheon of the SOA 2019 SOA Annual Meeting & Exhibit in Toronto.

Description: In September 2017, the China Insurance Regulatory Commission (CIRC) issued the “C-ROSS Phase II project construction plan”, planned to be used across three years’ time, by perfecting the regulations, improving the operational mechanism and strengthening the regulatory cooperation.

Description: The SOA recently launched the Mortality and Longevity Strategic Research Program with the release of a new study on the economic impact of opioid abuse. In this session, results of this study will be presented along with insights and plans for the future of the Program.

Description: An exploration of drivers, cohorts and dynamics for policyholder behavior for VA and FIA based on industry experience data, including changes in recent years and the emergence of long-term data in key areas. We will also discuss critical elements to developing a sustainable and coherent framework to translate this complex experience data into assumption models.