Description: The presenters will explore policyholder experience data for long-term products, risks of over-fitting data in developing behavioral models, and ways to mitigate these risks and develop a sustainable and coherent framework to translate complex policyholder behavior experience data to behavioral models using company- and industry-level data. At the conclusion of the session, attendees will be able to: - Identify key drivers of policyholder behavior for long-term product - Understand the risks of over-fitting data and a false sense of precision in developing behavioral mode - Understand techniques that can be used to mitigate these risk

Description: Artificial Intelligence (AI) is expected to change the insurance industry more in the next 10 years than it has changed in the past 100 years. Rapid advancements in computing power and the exponential growth of Big Data are creating more opportunities to incorporate AI techniques and methodologies into actuarial work. This session is for the practicing actuary who would like to learn more about AI and how to use it to analyze insurance data. At the conclusion of the session, attendees will be able to understand the fundamentals of AI, to build an AI model and to identify AI opportunities in their work.

Description: The implementation and execution of IFRS17 requires the insurance industry to re-define the skill set matrix of Actuary, Accountant and IT practitioner. Professionals with the ability to, 1. understand the business context of IFRS17, 2. gain insight from complex actuarial & accounting & data system 3. communicate technical content in a compelling way, will be the key players of the future Finance function of the insurance industry. They will also become the foundation of the new formations of IFRS17 delivery team containing hybrid or cross functional capabilities. This presentation will discuss: 1. the new skills, ranging from account posting to data governing, required by actuaries to stay relevant in a digitalized Finance function under the IFRS17 world 2. the actuarial related roles available within an E2E IFRS17 reporting process 3. the potential formation of the IFRS17 reporting team

Description: Basic feature engineering uses input data to create dummy variables, log transforms, and other single-value transformations. This talk builds upon these univariate transformations and presents several strategies for creating complex multivariate features that can enhance your model's lift. Topics such as target encoding, dimension reduction/projection, row/column, and other feature engineering topics will be covered.

Description: Risk management techniques such as stress testing and setting capital targets are fairly well established for life insurers; however, the implementation of these techniques can vary considerably. A fundamental question is how to manage multiple valuation perspectives, and the list of possibilities keeps growing. Companies can potentially consider some or all of the following: U.S. reporting measures (Stat, GAAP), internal measures (EV, VNB, economic capital), international reporting measures (IFRS), rating agency models or other developing standards (ICS, NAIC group capital). This session will begin with a quick overview of the defining characteristics of different valuation frameworks. We will then provide more focused and practical considerations for managing risk and capital under different frameworks, using specific examples to highlight key trade offs.

Description: Data is an essential component of financial analysis. In this session, the presenters will discuss data governance/management framework and how it can be applied to US GAAP LDTI and VM-51 regulations. This session will also discuss the important relationship between actuaries and IT and how they can work together towards best practices for extracting, managing and using data needed for various actuarial models. Real life case studies relevant for valuation actuaries (e.g. data needs for LDTI and VM-51) will also be presented and examined, highlighting best practices as well as challenges and pitfalls for setting up and governing data processes along with areas for where good communication and strong relationships are important to success.

Description: This speech shares the practical experience of platform construction in the actuarial practice work of Ping An People Life, at the same time, shares the development mode of the actuarial system combining online and offline, and summarizes and expounds the advantages and disadvantages of this mode.

Description: This is the Introductory Study Note for the Society of Actuaries Retirement Benefits-CSP, Canada examination for Spring 2012 that will be given on Friday, April 27th, from 8:30 a.m.–11:45a.m. and 1:30p.m.–4:45 p.m.

Description: US GAAP for Life Insurers chapter 13 spreadsheets showing the development of the GAAP accounting entries for various classes of investments: bonds, CMOs, and mortgage loans. Please see the book US GAAP for Life Insurers for further information on US GAAP accounting.

Description: US GAAP for Life Insurers chapter 17 spreadsheets showing various examples of GAAP for reinsurance transactions. Examples shown include reinsurance for disability insurance, YRT, Modco and coinsurance on a 10 year endowment reinsurance on Universal Life. Also shown is an example for DIG36, Total Return Swap with Floating Return Leg. Please see the book US GAAP for Life Insurers for further details on US GAAP accounting.