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: The most recent U.S. population data released by the Centers for Disease Control and Prevention (CDC) and from the U.S. Census at year-end 2021 includes the first ten months of the COVID-19 pandemic in the U.S. While we know the pandemic has had significant impacts on both the U.S. population and insured population mortality, we also see increased mortality due to many other non-COVID causes of death. Where are the biggest changes and what does this non-COVID excess mortality mean over the next few years? Take part as an expert panel hosts an interactive discussion to examine data from general population as well as from both individual life and group life experience studies to explore how these changes might spur innovation in underwriting, assumption setting and pricing.

Description: ClubVita Session Series Buyouts and indemnity swaps remove all the longevity risk from an underlying population. However, they can be difficult to unwind and are not very flexible or widely tradable. Explore the characteristics and product structures of indexed based longevity swaps, demonstrating how they can cover any term, how they hedge the key component of trend risk and how, with new technology developments, they could lead to a liquid market.

Description: Welcome to the appellate court. We’ve seen some scare in mass media on climate-linked mortality, but not sure what to make of that in our actuarial practice. Both data and research is quickly evolving around climate change’s impact globally and to US mortality. We’ll share a few tidbits from recent actuarial research on wildfires and air pollution in particular. At the same time, there are still many unknowns on the long-term effects, and this phase of understanding is ripe for calling on a diverse group of experts. We bring expert witnesses from different professions to the actuarial stand to answer whether climate change’s impacts from heat wildfire-induced air pollution to mental health is a credible and material threat to insured mortality. The audience should come ready to judge the arguments presented.

Description: Learn from panelists from different companies as they come together to discuss their experiences.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: By attending the session, you will learn: - Different perspectives around what FP&A is used for (e.g., strategic planning, performance measurement, management compensation, liquidity management, etc.) and why - Challenges leaders have faced and how they are being addressing - How recent regulatory, accounting, and technological change has impacted the FP&A function - Objectives for various organizations around both new analytics for business management, efficient production of forecast results, and potential for faster 'top down' forecasting

Description: Join us for an insightful session on best practices in setting assumptions and margins for Life and Annuity Products. This session will explore traditional best practices outlined by the ASOPs as well as their application in the context of emerging trends and risks in 2024, such as predictive analytics and AI. The session will also cover evolving trends in assumption governance, as corporate ERM areas become increasingly involved in the assumption setting process. Learning objectives include refreshing and enhancing knowledge of existing ASOPs, as well as understanding strategies for emerging risks that the ASOPs do not yet cover.

Description: Discover investing trends across the life and health industry as insurers seek to navigate rapidly changing rate and market environments. BlackRock will present results from its Peer Risk Study, which models industry holdings based on statutory filings at the CUSIP level. Through the Aladdin risk modeling software, expect a production of deep insights into insurer portfolio risk and return characteristics, as well as exploring how they have evolved. Keep an eye out for a partner to present on the evolution from their perspective. Start learning about what is happening on the asset side of the balance sheet across the industry.

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.