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: 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.

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: Behavioral Science is a powerful tool to enhance customer experience and improve outcomes across the life insurance value chain. This session will cover the foundations of behavioral concepts in a life insurance context and discuss practical areas that can benefit from behavioral science including customer engagement, disclosure, and retention. The session will leverage recent SOA research and specific experience in communication campaigns and call center best practices to translate theory to quantified results. Attendees will leave with an appreciation for potential challenges and practical steps to measure and demonstrate the value of implementing behavioral science.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: ClubVita Session Series Longevity trend risk still exists even for the largest portfolios. Explore the differences in longevity improvements between different populations, how to categorize subpopulations with different trend risk characteristics, and how to use this categorization to reduce longevity trend basis risk.

Description: The recent global pandemic, coupled with a rising interest rate environment, has emphasized the need for life insurers to be well-prepared for challenges on multiple fronts. Join industry experts in actuarial science and asset-liability management (ALM) as they discuss the significance of incorporating comprehensive pandemic modeling, mortality modeling, lapse modeling, liquidity analysis, and ALM strategies into the risk management framework of life insurance companies. Through case studies and interactive discussions, learn how to utilize systems and APIs from disparate risk models to integrate into an overall analysis to assess the short and long term impacts of the confluence of risk factors on your business, identify vulnerabilities, and implement proactive risk management strategies to enhance resilience and maintain long-term profitability.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.