Description: Planning for retirement is at the top of many minds. How do I save? When is the right time? What are my plans? But what are the impacts of your health on retirement? Learn more about the effects of a healthy lifestyle on retirement in order to maximize life span. Review more in-depth findings from a recent report sponsored by the SOA Research Institute’s Aging and Retirement Strategic Research Program and conducted by the Vitality Group, as well as other expert insights.

Description: After a sustained period of mortality improvement, U.S. population mortality improvement has stagnated in recent years. The presenters will discuss mortality improvement trends in the U.S. population and the causes of death contributing to these trends. U.S. population cause of death trends will be analyzed and compared to trends in the insured population. Mortality rates for major causes of death will be compared between the U.S. population and the insured population. In addition, assumption setting for both older age and later duration mortality as well as mortality improvement will be covered.

Description: Is your development team or IT staff growing tired of last-minute requests to include additional functionality? Have you strained to explain challenging actuarial topics to non-actuarial staff for implementation? Do your teams find themselves revisiting deadlines & timelines when building solutions? During this interactive panel discussion, three technologists (two software engineering managers and one data scientist) along with three actuaries will discuss real world problems and approaches using experience from previous projects. Although the challenge of running efficient software teams is not unique to actuarial science, this webcast will discuss best practices on how to organize teams to reduce friction and context switching. Presenters will also explore unique actuarial challenges and concepts including how to address standards on data quality when building software, how to build intuitive software that meets actuarial standards and how test-driven development makes it easier to meet actuarial standards of practice.

Description: Digital savvy consumers are demanding a change in the way they engage with their insurance carriers. As smartphone owners utilize their devices for financial management more than ever, insurance carriers aim to create a similar seamless digital strategy, offering customers a personalized experience on multiple platforms. Cloud-based applications also enable productivity, accountability and innovation in the insurance industry. Discover avenues of customer engagement through digital platforms, including new technologies and products, and why the value of data and data science is critical for business, such as adaptability, marketing and insightful pricing. Presenters will also touch on: - managing retention and lapses through data-driven continuous improvement cycling - high-level system architectures illustrating how multiple applications (front/mid/back office systems) will integrate with each other and share connected data example data points being captured within various marketing systems - data collection within various digital platforms - data science applications that help with business growth, retention, lapsation, effectiveness and cross-sell/up-sell opportunities, and the implications to actuarial functions - value and risk to carriers in the new digital paradigm

Description: Investigate the importance of collaboration with accounting, underwriting, sales, marketing and other professions as an actuary when you attend this webcast. Cross-functional positions can cause unique challenges to arise, like various experts attempting to balance growth and profitability. Discover an opportunity to learn about relevant ASOPs and dive deeper into contemporary examples that highlight specific professionalism issues that can develop.

Description: Economic Scenario Generator - Investment Section Web Series Session #2 - Real World This session will cover the following points: 1. NAIC ESG 2. Strategic Asset Allocation and Optimization Techniques 3. Covid-19 Postmortem: Modeling and calibration changes because of recent events

Description: Discover the impact of COVID-19 on member costs post diagnosis and the future of mortality in this Emerging Long Term COVID-19 Trends webcast. This webcast will be split up into Health and Life portions. During the Health portion of this webcasts, you will learn more about the impact on risk scores due to recent findings. Enjoy this discussion and further dive into the emerging COVID-19 trends that may affect how you conduct business practices. At the Life portion, the SOA Research Institute assembled a panel of mortality experts who will express opinions on the effects of the U.S. mortality rate for general, insured and pension populations in the short-term.

Description: As the size of the life reinsurance market in Bermuda has grown to over half a trillion dollars at the end of 2021, more and more actuaries are getting involved with this 21 square mile North Atlantic island in one way or the other. Come explore a fundamental understanding of the Bermuda solvency framework and an overview of its upcoming changes.

Description: Dive into the released enhancements of MIM-2021, including a run through of its purpose and evolution, during this webcast. The Mortality and Longevity Strategic Research Program plans to release these updates in October. You will leave this webcast with an understanding of how to create a mortality improvement scale using the necessary steps and tools. Learn how to use MIM-2021 through instruction and demonstration that will properly prepare you to utilize this tool. There will be time for questions where you can ask about the projection process or provide feedback.

Description: Insurers are increasingly using advanced analytics to model expected outcomes. Two well-known examples in the life insurance industry are models for predicting policyholder behavior and to manage risk selection. The presenters will explore the various types of advanced analytics being considered in models and how the associated risks of these models can be incorporated into an enterprise's risk framework.