Description: Edited Content: Discover more about key Economic Scenario Generation (ESG) topics that are relevant for actuarial applications. Expect a focus on risk-neutral / market-consistent ESGs, like setting long term assumptions and scenario reduction. Long tern assumptions will focus on a basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set. Come explore a basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction. Provided Content: The overall objective would be to introduce key ESG (Economic Scenario Generation) topics to actuaries, with two topics below that are relevant for actuarial applications. We intend to focus on risk-neutral / market-consistent ESGs. 1. Setting long term assumptions o A basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set 2. Scenario reduction o A basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction

Description: Discover more about key Economic Scenario Generation (ESG) topics that are relevant for actuarial applications. Expect a focus on risk-neutral / market-consistent ESGs, like setting long term assumptions and scenario reduction. Long tern assumptions will focus on a basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set. Come explore a basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction.

Description: In the light of growing adoption of AI in life insurance and with it a growing emphasis on the need to safeguard the data used against reidentification,traditional approaches to de-identifying data mitigate these risks but often fail to protect against more sophisticated attacks. Find out more about data anonymization methods, geographic differences in regulation (PIPEDA, HIPAA) and special considerations when dealing with particular data types By attending the session, you will: Gain knowledge of various data anonymization techniques and understand the differences in how data anonymity is defined across different regulatory schemes.

Description: Economic Scenario Generator - Investment Section Web Series Session #2 - Real World This session will cover the following points: 1. NAIC ESG 2. Strategic Asset Allocation and Optimization Techniques 3. Covid-19 Postmortem: Modeling and calibration changes because of recent events

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: For actuaries interested in term life insurance, add this webcast to your calendar. Our panel of experts will discuss term life insurance from the following perspectives: Pricing Product development Reserving Risk management They will also discuss exploring data visualizations using Tableau.

Description: The SOA, with SCOR as the researcher, completed an experience study of post-level term (PLT) lapse and mortality. In the first part of this session, the presenters will cover the key findings of the traditional analysis regarding the shock lapse, the PLT lapse and mortality experience. The remainder of the session will focus on the results of the predictive modeling, which will provide further insights into policyholder behavior in the post-level term period.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: Electronic Health Records are here to stay. Take a deep dive into the world of electronic health records and how the industry is poised to utilize this new form of digital medical data to transform the way policies are underwritten and ultimately, transforming the client experience. Listen to industry experts speak about what they are doing to use this data most effectively and how this ultimately develops into ground-breaking solutions for the industry.