Description: The SOA's Competency Framework for Actuaries is a tool to help actuaries make decisions related to their individual professional development and career management plans. It applies systematic, sound approaches to selecting professional development opportunities, focusing on the skills needed to go beyond technical and specific actuarial analysis. This is an Excel file that facilitates that process by providing a personal planning workbook.

Description: This report examines the adoption and challenges of predictive analytics in life and annuity reinsurance, including current practices, regulatory context, and advanced AI applications.

Description: Award-winning essays on addressing unwanted bias in life and annuity insurance processes.

Description: The Mortality Improvement Model, MIM-2021- V3. Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group (“Advisory Group”) developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: This report was developed by the CESRC as an update of one Rob Erhardt prepared in 2016 that compiled a collection of sources that deal with what scientists know and what actuaries could do. Sources have been chosen with practicing actuaries and the public in mind. In the original report, nearly all governmental sources come from the United States. In the update an attempt was made to include sources from actuarial bodies and regulators worldwide. Please let us know if you have a source we did not include as it is anticipated that the SOA will continue to update a list of sources for these topics in the future.

Description: Risk Adjustment continues to be a hot topic in Health Insurance since its emergence. This mechanism came into being as a means of reducing the risk of selection, particularly in marketplaces where underwriting is not allowed, and rating factors are significantly restricted. Risk adjustment serves to adjust premiums to reflect the risk of individual members or overall members as a whole within a particular cohort of a health plan. Risk adjustment is not perfect, as it does not perfectly predict future costs or perfectly adjust for the differences in expected costs. Different marketplaces have different challenges with risk adjustment.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: This report provides a resource guide for asset-liability management practitioners, including methodology reviews, a survey of ALM practices, and guidance for applying ALM questions to real-world situations.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.

Description: As China’s population officially ages, the government has now escalated reform of China's social security system to a national strategic level. The report of the 19th National Congress further mentioned construction of an old-age security system and social environment, painting a bright future for development of the pension industry. At the moment, development of China's pension industry is beginning a new journey. Learn about the current status and future development of pillar 2 pension, which is core to China's pension system; framework and operation management overview of Enterprise Annuity and Occupational Annuity; possible evolution paths in contribution payment methods’ investment operation models, and development of professional pension managers.