Description: In this video, Lisa Schilling from the Society of Actuaries Research Institute presents the challenges of estimating mortality improvement rates, emphasizing their importance in actuarial modeling for life insurance and pensions.

Description: "This talk will evaluate the present pace of evolution in actuarial data management due to economic and demographic pressures, evolving regulatory/compliance requirements, AI and the growing need to have advanced analytic capabilities. We will evaluate each factor briefly to isolate their impact on actuarial data management, highlighting risks and opportunities for actuaries and IT teams supporting actuaries. Attendees will gain insights into the factors affecting changes in actuarial data technologies, understand key differences between centralized and decentralized data management approaches, including their impact on data quality, governance, performance, and scalability. The session will highlight some pain points of centralization, such as the integration of actuarial transformation initiatives with IT processes, juggling data complexity and business logic, and the limited creativity and agility due to interdependencies between components and evaluate how emerging concepts such as actuarial data stores tackle the 'centralization' problem. We will also cover a real-life use case covering the evolution of actuarial data management and challenges identified in previous parts of the presentation. The session will avoid going into any specific solution details: it will address current challenges due to broad shifts, then evaluate newer concepts, corresponding risks and opportunities. - Understand key macro and micro drivers impacting actuarial data management - Understand centralized and decentralized approaches to actuarial data management - Evaluate the concept of an actuarial data store - Coordinate better with IT teams to deliver changing actuarial data technology needs"

Description: Join us in Chicago for an essential session designed to teach the fundamentals for a health appointed actuary. Gain a solid understanding of core responsibilities, key regulations, and ASOPs. This session will provide the foundational knowledge you need to navigate the complexities of the health valuation landscape. Whether you're starting your actuarial career or seeking to enhance your skills, this session offers valuable insights in the heart of the Windy City.

Description: Actuarial Asset-Liability models are indispensable for asset adequacy analysis, ERM, and economic capital. Actuaries often excel in modeling liabilities but tend to rely on Externally Projected Asset (EPA) cash flows from third-party sources for assets.

Description: Opening/welcome - Callum Williams, Senior Economics Writer, The Economist

Description: Candidate Connect – 2026 Health Meeting

Description: Actuarial models increasingly drive critical decisions, yet traditional governance - shared drives, file names, and Excel changelog tabs - create confusion and weak auditability. Version control systems, especially Git, offer a proven alternative by recording every change with author, time, and rationale, enabling reproducibility, collaboration, rollback, and transparent peer review. Git’s ecosystem (GitHub, GitLab, Bitbucket) adds pull requests, issue tracking, and centralized documentation, supporting auditors and regulators with a single source of truth. Actuarial use cases can include code and spreadsheet models, assumption management, and even monthly SQL queries. Adoption requires tooling, standards, and security discipline, but overall strengthens integrity and readiness for data-driven work.

Description: To better understand and support the future of the actuarial profession, the Society of Actuaries (SOA) has asked its members to participate in a job analysis survey. This information will help to ensure the Associate of the SOA (ASA) meets evolving market needs.

Description: Examines complex structured assets used by life and annuity insurers, including structures, risks, performance in crises, and implications for capital and asset-liability management.