Description: Model Risk Management continues to be an evolving area for insurers to be considering. This has grown from both internal and external forces and may require a different format to previous model risk frameworks held by insurers. Furthermore, there are a number of trends emerging that we believe will drive an increased focus on insurer’s model risk management frameworks such as technology automation, ever increasing data sources, and the use of predictive models. Risk management and the development of models is an area where insurance companies have performed well in the past. It is expected that frameworks currently exist within companies; the governance, documentation, validation and control of model risk are likely to be well established practices. The challenge that insurers must consider is how well these have been adopted throughout the company for all models used to make business decisions and if the same level of rigor has consistently been applied. Regulation in a high-velocity actuarial environment will to be a challenge that actuaries must spearhead and must be proactive in guiding rule making to ensure continued innovation while putting data security and risk management first.

Description: Hot topics and emerging trends in assumption development in US life insurance companies

Description: A review of Section 404 of the Sarbanes-Oxley Act, including a review of the need for life and health insurance actuaries to review and, in most cases, substantially strengthen their internal controls over financial reporting.

Description: In this article, the author talks about how China’s insurance industry is entering a transitional period characterized by greater focus on risk management and governance.

Description: Essays advocating for incentive compensation linked to the level of risk in an organization.

Description: Key points of the conceptual framework of China’s new solvency system, the “China Risk Oriented Solvency System” (C-ROSS).

Description: A listing of the 2016 modeling-related sessions and webcasts from the SOA. Most meeting session recordings are available for free to SOA members.

Description: The purpose of the article is to highlight how a person or organization can excel in both a highly-competitive expert-driven environment and one where the environment is less so. One should focus on what can be done well and delegate the remaining tasks to those who are better at performing them. One should understand the environment they are operating in, how it impacts them, and how it may change through time. The principles have application to investment management, investment performance, organizational performance, business development, career progression and economics.

Description: One important lesson learnt from the recent financial crisis was that overreliance on financial models could lead to unforeseen and harmful consequences. Model risk management (MRM) is becoming a core and mandatory component in enterprise risk management for many financial institutions, especially Fed/OCC CCAR-compliant firms. In recent years, insurance companies are also being required to have model risk management programs by Solvency II, ORSA and other supervisory guidance. MRM is not just model validation. It consists of governance and policies regarding a model's life cycle including data, model development, model test and implementation, model validation, model monitoring and documentation. It also provides guidelines and standards for risk assessment and model inventory management. The presenters will discuss current and best practice MRM, approach for model validation and auditing, as well as topics for technical issues such as types of model risks. It will also discuss the differences between Fed/OCC standards and Solvency II standards. At the conclusion of the session, attendees will be able to: Describe best practice in model risk management; Explain requirements and standards; and Develop model validation procedure.