Description: As effective dates for major changes in insurance accounting are rapidly approaching, insurers find themselves at various stages of their implementation programs. Driven by the need for compliance and desire for operational excellence, companies are transforming by reimagining their processes, leveraging technology enablers, redefining roles and responsibilities, and enhancing risk management, governance, and controls. Companies that proactively include risk and control elements in their accounting change implementation programs benefit from improved outcomes, enhanced investment returns, early identification, and mitigating of risk. Focus on risk and controls considerations around accounting change programs and how strategic partnerships with internal audit and ERM groups can benefit these significant transformation programs. By attending the session, you will: Be able to articulate key considerations around risk and controls for accounting change implementation programs.

Description: What is a vitagion? Is there such thing as catastrophic longevity? What does a 1 in 200 year mortality loss event look like? How might actuaries use mortality scenarios in their practice? Explore how to move beyond simplistic stress testing with singular percentage shocks to building a robust set of information, derived from stochastically generated scenarios for longevity and excess mortality outcomes. This data can inform assumption setting, longevity swaps, capital levels, and risk management. These concepts apply to life insurers, pension actuaries, and reinsurers. By attending the session, you will: - Understand what is a loss exceedance curve is and how it may be useful to quantify tail risks. - Comprehend how to incorporate stochastic variability into longevity and excess mortality assumptions. - Find out what elements go into a stochastic prediction of extreme mortality events using nested models. - Learn how to add more depth to youractuarial assumptions.

Description: It has been a little over a year since the release of the Society of Actuaries (SOA) Research Institute's Mortality Improvement Model, MIM-2021. Since then, waves of COVID-19 have continued to occur in the U.S. The uncertainty around the COVID-19 pandemic and the slowing of U.S. general population mortality improvement prior to the pandemic are just a few of the reasons that make developing MI projection scales difficult. Uncoverthe results from intercompany surveys on mortality improvement, including one that addresses COVID-19, discover insights from a mortality expert panel on COVID-19 and future mortality, and discuss enhancements to MIM-2021. By attending the session, you will: - Understand MIM-2021 and 2022 enhancements. - Understand SOA Research Institute activities around COVID-19 and impact on mortality improvement. - Apply research results and insights presented to daily work.

Description: 2021 ImpACT Conference - Session 5D: Data Science: The New Frontier for Evaluating Digital UW Evidence 10.26.21 Recording

Description: Recent developments in automation capability have opened the door to improvements in the way that companies are able to monitor compliance with Internal Revenue Code (IRC) Section 7702. Further automation of Section 7702 testing allows for less input, more policy testing, and significant reductions in manual processes and risks associated with them. As technology has improved, and computing power become virtually limitless, the insurance industry can take advantage of these new technologies to improve and enhance 7702 capabilities. The result can be an easier, faster and more comprehensive process that will be more scalable across products. By attending the session, you will: - Understand the basics IRC 7702 calculations and computational limitations on traditional solutions. - Identify the features that make low-code/no-code solutions unique and their uses in an actuarial context. - Apply the pros and cons of low-code/no-code (LCNC) solutions in a 7702 context.

Description: Insurance carriers are continually challenging to innovate and evolve emerging underwriting toolswisely. A growing number of new tools continue to emerge. Uncover insights and gaina technical understanding on two models from validation studies recently conducted. Find out more information on ways to evaluate models for bias an fairness. Perspectives will be shared from both a direct carrier and reinsurance standpoint. By attending the session, you will: Gain more insight into emerging underwriting tools and methods to evaluate them.

Description: Universal Life with Secondary Guarantees (ULSG) was first introduced in the late 1990's as low-cost, long-term death benefit protection. As this business ages, writers are experiencing pressured earnings from emerging experience, secondary markets for insurance products and low interest rates. In response, writers are sharpening their pencils on experience analysis and risk management with an eye for opportunities to increase the performance of their blocks.

Description: In the light of growing adoption of AI in life insurance and with it a growing emphasis on the need to safeguard the data used against reidentification,traditional approaches to de-identifying data mitigate these risks but often fail to protect against more sophisticated attacks. Find out more about data anonymization methods, geographic differences in regulation (PIPEDA, HIPAA) and special considerations when dealing with particular data types By attending the session, you will: Gain knowledge of various data anonymization techniques and understand the differences in how data anonymity is defined across different regulatory schemes.

Description: 2021 Life Meeting - Session 8B: Proxy Discrimination in Life Insurance 9.1.21 Recording

Description: The SOA, with SCOR as the researcher, completed an experience study of post-level term (PLT) lapse and mortality. In the first part of this session, the presenters will cover the key findings of the traditional analysis regarding the shock lapse, the PLT lapse and mortality experience. The remainder of the session will focus on the results of the predictive modeling, which will provide further insights into policyholder behavior in the post-level term period.