Description: Review the summary of SOA’s November 2024 Exam P in terms of the number of candidates writing, passing, and the associated pass rates.

Description: Review the passing candidate list by number for SOA’s December 2024 administration of exam FM.

Description: Review the passing candidate list by number for SOA’s October 2024 administration of exam RETFRC.

Description: What would happen when the use of computerized two-digit date fields used through all of the latter half of the 1900s encountered the date 01/01/2000? No one knew. As Jan. 1, 2000, drew closer, self-preservation forces, competition, liability shifts, and disclaimers heated up essentially across all commercial sectors. The contemporaneous documents of those pressures tell a story about those who did not know the outcome of the Y2K issue, primarily as related to liability, risk and insurance. In this exciting article, Nancy P. James, Licensed Insurance Adviser and Y2K expert, shares the untold story of risk and insurance at the dawn of the Millenium.

Description: Global trends in both technology and regulation are causing US insurers to reflect deeper 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. This rising tide of AI means that it is imperative for US-based insurers to address these emerging risks within their Model Risk Management (MRM) frameworks. Regulation also continues to evolve in this space: in Canada, the Office of the Superintendent of Financial Institutions (OSFI) revised Guideline E-23 to instill more detailed model risk management standards; in Bermuda, the Bermuda Monetary Authority (BMA) has published CP2 to add increased scrutiny on the data and models used by insurers. Insurers must react: MRM frameworks require prudent revisions to reflect these ever-changing landscapes of risk. Reassessing the core pillars of MRM frameworks - risk measurement, model development, validation, monitoring, and governance – is key to understanding the consequences of these evolving market changes on insurers’ risk profile. Overall, the inclusion of these new tools into the world of insurance necessitates a thorough examination of insurers’ MRM frameworks in order to align these new risks with core MRM principles. In this session we will: - Reflect on recent drivers of change and how they should be considered in the context of MRM - Explore best practices as it relates to MRM frameworks in the context of current global trends - Describe challenges, success stories, and lessons learned relating to recalibrating and embedding MRM frameworks

Description: Amid the growing adoption of AI/ML models for underwriting and pricing, Life and Annuity carriers are facing increasing regulation in North America on Model Risk Management (MRM) and the use of AI. Colorado has set a precedent in the US by requiring reporting in June 2024, with other states looking to follow suit. To ensure compliance, Chief Risk Officers and Heads of MRM, working with their business partners, will need to evolve their MRM and AI risk frameworks, enhance model validation capabilities, and strengthen governance. This session will present: - Key trends and challenges faced by carriers amid increasing model landscape complexity and regulatory expectations - Regulatory outlook and implications for carriers' MRM and AI risk programs - An approach to enhance MRM and AI risk frameworks, including specific model validation program updates to address the unique risks of AI/ML models - Opportunities to enhance both MRM validation effectiveness and efficiency through the adoption of more risk-based approaches, smart sourcing, and automation - Case studies of how leading carriers are evolving their MRM and AI risk programs Upon attending the session, the attendees will develop a good understanding of increasing regulatory expectations, the required MRM and AI risk framework enhancements, and approaches to design and execute an effective MRM validation program in a cost-efficient manner.

Description: This session delves into Actuarial Fairness and compares it to other fairness concepts within the context of retirement savings, exploring how these ideas influence behaviors among retirees. We explore how immediate financial pressures and complex financial decisions impact people's willingness and capability to save for retirement. The session will also review traditional retirement solutions and innovative alternatives, assessing how each aligns with fairness principles. Drawing parallels from public discourse on resource distribution in sectors like healthcare, we discuss broader implications of fairness in financial regulations and impacts on policy and decision-making in retirement planning. Learning Outcomes: Attendees will be able to: - Understand the application of fairness concepts, including Actuarial Fairness, to retirement income products. - Explore how perceptions of fairness influence retirement saving behaviors, examining personal finance challenges and the regulatory environment. - Assess innovative retirement solutions' roles in promoting fairness while upholding actuarial integrity. - Analyze the influence of legislation and public policy on the conceptualization, communication, and implementation of fairness in retirement products.

Description: The life insurance industry is facing a rapidly changing landscape, with several emerging risks demanding the attention of actuaries and industry professionals. While actuaries commonly examine historical experience to guide our estimates of future outcomes, we are often faced with evidence that some of the forces that dictated past performance no longer persist and in some instances may even turn into contrary forces. This session aims to explore the key challenges and opportunities presented by risks with limited historical context, and discuss strategies to effectively manage them. We will delve into critical emerging risk areas, such as interest rate and asset risk, the rise of AI, climate change, predictive analytics in underwriting, and more. The session will feature speakers who are experts in managing risk, as well as results from interviews with top corporate risk professionals, such as CROs and ERM leads from major insurance and reinsurance companies. Attendees will gain valuable insights into emerging risks and practical strategies to navigate the evolving life insurance landscape.

Description: In this session, we will explore the innovative use of artificial intelligence in developing narrative scenarios to enhance life insurance investment strategy discussions. Participants will discover how developing comprehensive and imaginative scenarios can help identify potential future risks and opportunities, leading to more informed investment strategy planning. The session will cover practical approaches to creating and utilizing narrative scenarios, emphasizing their role in improving decision-making processes. Join us to learn how to craft compelling scenarios that provide a broader understanding of drivers of emerging trends and uncertainties, ultimately transforming traditional investment strategies in the life insurance sector. Learning Outcomes: - Understanding the role of AI in Scenario Development - Enhancing Investment Strategy Decision-Making - Writing comprehensive scenarios and using them for specific investment strategy decisions

Description: Life insurance products have evolved over time from the early mutual aid societies paying benefits when members died to comprehensive products covering a range of financial needs over an individual’s lifecycle. While some life insurance benefit riders have been offered for decades and are well-established, recent years have seen a number of accelerated benefit riders being introduced by carriers for a growing range of covered triggers. Join us as we discuss these acceleration and extended benefit riders, trends and innovations in the space, and discuss challenges and actuarial considerations in designing, pricing, and modelling them. We will also explore issues carriers have experienced, how to consider the interactions between these benefits and the underlying mortality coverage, reinsurance considerations, and more!