Description: The June 2000 supplement of The Actuary. The SOA Committee on Elections and the June 2000 issue's editor invited candidates for the office of president-elect of the Society of Actuaries to be interviewed by The Actuary. This annual service of The Actuary is intended to help Fellows make more informed choices in voting for a future SOA president.

Description: In this AUW-inspiring session, we'll dive into a decade-worth of accelerated underwriting (AUW) random holdout and post-issue audit data collected across 30+ industry programs and learn monitoring best practices directly from two life insurance underwriting experts on the 'front lines' of monitoring. From the industry study, we'll explore misclassification trends, including the characteristics of applicants most likely to be misclassified in a random audit and how we use this monitoring data to estimate excess mortality 'slippage' in AUW programs. From first-hand experience, underwriters will highlight the challenges and benefits of various monitoring methods, including resource constraints and how targeted auditing can be leveraged to guide future program enhancements. Lastly, we'll discuss when year-over-year trends and claims experience become credible, and in the meantime, how to look for value beyond the slippage estimate to improve fluidless underwriting programs moving forward into the next decade and beyond! Learning outcomes: 1) Gain a solid understanding of common monitoring practices in accelerated underwriting programs 2) Explore an in-depth monitoring study of 30,000+ random holdout and post-issue audit cases across 30+ AUW programs spanning over a decade of issue years 3) Learn how to use monitoring data to estimate excess mortality 'slippage' in AUW programs 4) Discover how monitoring insights and techniques can be leveraged to improve fluidless underwriting programs moving forward

Description: It happens every year: hurricanes, wildfires, and floods destroy property, interrupt routine care, and exacerbate chronic conditions. Clearly, general insurance and health actuaries need to reflect these conditions in their pricing projections even though there are lots of unanswered questions about the frequency, intensity, and location of significant events. In this session, the presenters will discuss how to reflect the impact of climate change in the day-to-day work of health and general insurance actuaries. After this session, attendees will be able to: - Describe the impact of climate change on property damage and healthcare - Identify relevant data sources and methods needed to reflect the impact of climate change for use in the day-to-day work of health and general insurance actuaries - Discuss the risk associated with climate change

Description: An actuary striving for a broad leadership role needs to build strong communication and influencing skills, as well as strategic and general business skills. They must be able to quickly adapt to being submerged in a fast-paced, results-oriented environment. This workshop is intended to educate mid-level actuaries on the key characteristics that define good leaders and how to focus on building the skills necessary to successfully transition into a leadership role. At the conclusion of this workshop, attendees will: - Be able to determine if a leadership path is right for them - Learn the key competencies that make good leaders - Understand how to build the skills necessary to move from technical expert to leader

Description: Listen to an update of the Social Security Program's financial status as presenters discuss current status and recent proposals for modifying the program. At the conclusion of the session, enjoy a better understanding of the current status of the Social Security Program, its funding status, various challenges it faces, and a variety of suggestions that have been made to overcome those challenges. By attending the session, you will be able to: - Demonstrate a deeper understanding of the financial status of Social Security. - Be better informed about the opportunities for change in the program. - Understand challenges it faces, and a variety of suggestions that have been made to overcome those challenges.

Description: At the conclusion of this session, attendees will be equipped to apply relative risk curves in their actuarial work, including the ability to examine dose-response relationships, apply population attributable fractions (PAFs), and develop customized risk models for cause-specific mortality and morbidity outcomes based on individual-level exposures to selected risk factors. These skills are becoming increasingly important as actuaries adopt novel applications of big data and dynamic health information to refine risk assessments and keep pace with global health trends.

Description: This session will uncover the mystical findings that can be uncovered when leveraging a reinsurer. Insights discussed during this session include mortality at high face amounts, interactions between lapses and mortality, mortality improvement on low face amounts, fully underwritten mortality by Resident State and more. At the conclusion of this session, attendees will be able to identify where reinsurer data can help uncover insights, how mortality and lapse knowledge can improve product performance and what some mortality results can come from reinsurance research.

Description: Modern actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it.

Description: This session will discuss SECURE 2.0 and the recent required minimum distribution regulations, section 7702’s floor interest rates and managing contract changes, SECURE 2.0’s rules for withdrawals from retirement plans for long-term care insurance, and issues on the horizon such as the global minimum tax and Billionaire’s tax proposal.

Description: Article describes best practices for teaching a course module that involves multiple parameters. A good example is hypothesis testing which requires consideration of the parameters, sample-size, population distribution, known variance and has as consequences whether a normal or t distribution should be used or whether non parametric methods are used. The articles recommends use of the Prime Implicant Normal Form as a means of teaching. It shows the superiority of this method over other forms such as heuristics, complete rules, or graduated approaches.