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.

Description: This session will start with an overview of why this is important along with a number of practical ways to achieve the objective. Topics covered in this talk include what has been done on the issue so far (e.g. Solvency II, IFRS, U.S. GAAP, PBR) and new and practical ideas in the goldilocks’ zone (i.e. that are neither too simple nor too complicated).

Description: Due to the development of mobile internet, Chinese insurers now have a variety of valuable ways to collect and use customers' health data.The speaker will share his experience in heath data application in the following fields:Using data to customize health information and suggestion for customers;Using data to stimulate customers' needs for insurance products; and Using data to provide tailor-made products and services

Description: During this session attendees will learn about important, practical skills that actuaries can develop in order to be more influential and impactful in their actuarial career.

Description: To evaluate the risk associated with personal auto coverage, insurers have traditionally relied on information about the driver (such as age, gender and marital status), location (such as territory or ZIP code), the intended use of the vehicle (such as business or pleasure) and information about the vehicle when new (such as original cost). Insurers then added detail to driver information using sophisticated credit scoring and demographic models, and added detail to vehicle use information with telematics and usage-based insurance pricing. Now, insurers are adding detail about the vehicle itself using vehicle history. The presenters will discuss how carriers use vehicle history to more accurately price and underwrite risks. They will discuss obvious data elements, such as salvage title brands, verified average annual mileage and severe damage, as well as data that may not be as obvious but has proven predictive of loss in the past. Finally, using vehicle history as an entry point for UBI programs will be covered.

Description: Learn various ways that actuaries are an making an impact on social issues such as healthcare, public health and climate change. Do you ever wonder if the actuarial profession is doing more than making bottom line revenue for its employers? Hear directly from multiple actuaries who are following their vocation by utilizing their actuarial skills to address real societal issues.

Description: This session will cover clustering techniques generally (k-means, hierarchical), and how k-means have been used to segment policyholders using third party features such as credit scores to assess customer profitability.

Description: IFRS 17 is causing insurers to rethink their investment management and ALM strategy. The presenters examine issues arising under IFRS 17 and IFRS 9 and the resulting challenges facing insurers, including the volatility and impact on financial statements. Solutions will be proposed including a discussion on how to deal with the disconnect between economic and accounting results. A case study will present the tradeoffs insurers must consider to optimize their portfolio under IFRS 17.

Description: The presenters in this session will discuss the simultaneous use of DB and DC plans. With the continued growth of DC assets and the freezing of DB plans, it is increasingly common to see DB participants with a DC plan that is more than just supplemental. Because of this, it is important that retirement professionals see DB and DC plans as not just competitors for contributions, but as partners. The presenters will discuss how that partnership can work and how the presence of a DB plan can influence the design of DC solutions such as target date funds.

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.