Description: The management of the investments of an insurance enterprise has undergone a considerable evolution since the pioneering work of Redington in the mid 20th century. Best practices have evolved to incorporate ever more complex insurance liabilities, expanding investment asset classes and global market opportunities. Strategic asset allocation (SAA), liability driven investing, and other robust optimization approaches form the core of the professional management of insurance company investments.

Description: With many complex regulatory changes on the horizon as well as pressures to ensure model accuracy from auditors, regulatory requirements and new actuarial standards of practice, the importance of robust model validation is coming to the forefront of actuaries’ minds. What was previously a day-two task for many companies is becoming just as important as model development! In this session, you will hear from those that have been deeply involved in building model validation frameworks and tools in responses to regulatory changes GAAP Long Duration Targeted Improvements (“LDTI”) and Principles Based Reserves (“PBR”).

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: The presenters will share information about: -Insights into causes of death through the use of predictive models, based on a reinsured U.S. life portfolio, using logistic regression models to understand three main causes of death: cancer, heart and external causes; -Opioid abuse is a widespread phenomenon with drug-related mortality rates rising steeply in the U.S. over the past two decades. But what does the most recent data tell U.S. about the outlook for Opioid-related mortality?; -'Deaths of despair' have been publicized as a cause for the poor performance of U.S. mortality in recent years. The presenters will be looking at the different causes under this label, their evolution and explore the drivers behind them.

Description: The valuation manual is a living document that continues to evolve. As more companies adopt Principle-Based Reserving (PBR) and file PBR Actuarial Reports, regulators have observed gaps and inconsistencies across the industry. As a result, PBR reporting requirements (VM-31) have expanded significantly in 2020 and still continue to evolve. This session will provide attendees with everything they need to fill out their PBR reports for both Life business and Variable Annuity business. We will dig into the new changes effective for 2020 reporting and approved changes for 2021, and compare and contrast the Life and VA requirements to help companies identify areas that can be leveraged between the two. In addition, we will share insights from regulators, consultants, and company actuaries on what to include or exclude in your report.

Description: in the insurance industry, machine learning models are increasingly used to make decisions that affect people's lives. In order to ensure that models are fair, they should be audited for bias. There are no hard and fast rules for bias audit; metrics that can be used to evaluate fairness vary depending on the context in which the model is deployed. The presenters in this session present a flexible framework that highlights key considerations in bias evaluation that can be adjusted to suit your process.

Description: The Society of Actuaries are once again offering a seminar that investigates all aspects of life insurance, annuity and long term care product tax compliance. Developed by the Taxation Section, participants will be brought up-to-date on recent Internal Revenue Service (IRS) guidance and learn about the newest tax issues related to product design and administration. Legal, IRS and product development experts will provide vital insights into the challenges of developing and administering products within the requirements of the Internal Revenue Code (IRC), and allow ample opportunities for networking, questions and information exchange.September 12The optional “boot camp” will provide an intense introduction to the basics of product taxation. The boot camp will include sessions focused on life insurance, annuities, and long-term care combination products. The basis of the boot camp will be the authoritative textbooks, “Life Insurance and Modified Endowments Under IRC Sections 7702 and 7702A” and the “Annuities Answer Book.” Book authors will conduct these optional programs. September 13–14The general sessions will feature product, tax, legal and compliance experts as well as Internal Revenue Service (IRS) representatives. Recent changes in the qualification requirements of insurance products and a host of product tax issues beyond Internal Revenue Code (IRC) section 7702 and 7702A will be emphasized.

Description: This practical session would provide a technical overview about Generalized Linear Model (GLM) and describe how GLM can be applied as a business tool in life insurance. The session would also focus on case-studies sharing across different functional areas such as pricing, fraud detection, underwriting, product development and other real-world applications.

Description: This practical session would provide a technical overview about GLM techniques and describe how GLM can be applied as a business tool in solving business problems in life insurance. The session would also focus on recent real-world case-studies across different functional areas like pricing, fraud detection, underwriting and product development.

Description: As more term insurance policies move to the post-level period, actuaries are evaluating policyholder behavior and expected mortality. Enough experience has now emerged to provide a spectrum of outcomes that can model the relationship between premium increases, persistency and mortality. The presenters will share findings and consider how different post-level premium structures produce different results.