Description: Innovation in technology has disrupted nearly every industry creating mounting internal and external pressures on organizations to accelerate the adoption of their digital agendas. The COVID-19 pandemic further brought to light the need for technology to be adaptable, powerful and scalable. As the insurance industry leaps into the future, actuaries must not only proactively refine their roles and responsibilities within insurance organizations, but also seek opportunities for improvements and optimization in their day-to-day work. Discover a variety of opportunities in using modern technology to streamline, accelerate and optimize actuarial processes. Cover a wide spectrum of actuarial solutions from automation of actuarial data transformation to actuarial reserve calculations and calibration of economic scenarios.

Description: Chairperson’s Corner

Description: 2023 SOA Elections Results: Announcing New 2023–2024 Board Members and President-Elect and Vice-Chair

Description: ALM and hedging can reap significant benefits from innovation in computation and operations research. Explore applications of static and dynamic optimization in two different ALM and hedging use cases. Insurers are increasingly moving offshore by establishing Bermuda captive reinsurers. In calculating the Bermuda Best Estimate Liability ('BEL'), reinsurers will need to segment assets to support liabilities in each treaty. A Linear Programming ('LP') problem can be formulated to tactically select assets in a way that minimizes the BEL and consequently the total asset requirement. Learn more about what US Variable Annuity Insurers face with the regulatory requirement to reflect 'future hedging strategy' in their statutory funding calculation. The traditional numerical method of finding the optimal hedging target and then allocating assets may encounter the curse of dimensionality with expanding product and economic environment complexity. A Reinforcement Learning algorithm may well fit this problem and provide insurers a solution for dynamic hedging.

Description: Winner of the Most Unique Vision of the Future award in the SOA’s 2022 Speculative Spectacular Fiction and Art Contest.

Description: The Society of Actuaries Research Institute’s Aging and Retirement Strategic Research Program is pleased to make available a brief report on the impact of COVID-19 on financial stress.

Description: View the full essay collection titled "The Impact of Climate Change Risk on Retirement"

Description: IFRS 17 and US GAAP LDTI represent the biggest accounting changes for life insurers in decades and both become effective starting January 1, 2023. While many are familiar with the forthcoming changes under either IFRS 17 or LDTI, users of financial statements will need to be able to translate between the two accounting models (or at minimum, understand both models) when reviewing the financials of multi-national insurers. Learn about earnings expectations under both accounting models and compare and contrast product features performance, measurement requirements (including key policy decisions), and financial statement presentation under IFRS 17 and LDTI for traditional life insurance products. Explore illustrative examples as well as anecdotes from first-hand implementation experience to solidify the key themes and insights. By attending the session, you will:•Understand the impacted components of the financial statement for both IFRS 17 and LDTI as well as be able to translate between the two different presentations.•Describe the key methodology differences between IFRS 17 and LDTI and how those differences will impact earnings.•Describe the advantages and disadvantages of accounting for an insurance product under IFRS 17 versus LDTI.•Describe expected earnings impacts for traditional life products under both IFRS 17 and LDTI.