Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied with an overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner.

Description: Introducing Random Effects into Risk Score Models

Description: The use of data to assess risk is not new to the life insurance industry, but has historically been limited to leveraging structured data. Join us as we discuss the next frontier: unstructured data.

Description: Come discuss the benefits and challenges of collaboration between academic institutions and industry stakeholders in shaping actuarial education and research agendas. Register for this event now.

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Historically for coinsurance deals some appointed actuaries have only concerned themselves with the reinsurer counterparty risk and in certain cases have ignored 100% coinsurance business in their asset adequacy analyses (AAA). Recently there have been regulatory discussions about concerns relating to asset intensive reinsurance and how these deals may be exposing policyholders to additional risk. Presenters will discuss the recent draft APF 2024-3 and issue brief 'Asset-Intensive Reinsurance Ceded Offshore From U.S. Life Insurers (With Focus on Bermuda)', potential impact to AAA, and modeling considerations.

Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: Blockchain and cryptography have seen significant adoption around the world. While still in early stages, it has started to make an impact in finance, gaming, and metaverses industries. Organizations have even began to provide insurance services on blockchain. Although insurance is limited to protection against financial losses in markets, the sheer adoption has sparked interest for other insurance use cases and some startups have already started experimenting in the space.

Description: June 2024, AG54 will begin for new RILA sales. This guidance requires companies to determine an interim value that is more aligned with the market value of the position on a daily basis. This discussion will talk through companies adoption of AG54, lessons learned, approaches and integration with the administration system. Additionally this session will discuss how AG54 impacts new product design, reserving and capital implications.

Description: This session is open to all, but targeted to pension actuaries looking to understand the mechanics of how PRT is priced by life insurance actuaries, as well as life insurance actuaries who wish to understand how the stream of expected benefit payments and Accrued Benefits Obligation is calculated by Retirement Actuaries. Pension Risk Transfer involves two distinct disciplines of the actuarial profession. To date, understanding the other side of Pension Risk Transfer has been limited. This session will attempt to clarify the mechanics of the other side of PRT and explain how an actuarial model consolidating the two separate sides can be built. Panelists will include a retirement consulting actuary who helps retirement plan sponsors bring their pension plans to market to purchase PRT, as well as an experienced life insurer who works to price PRT.