Description: An update to the risk management readers on what the JRMS is planning to do over 2023 to serve its membership.

Description: In this article, the interviewers will discuss the pros and cons of centralized modeling function vs a business unit based modeling function. Their experience will help us in identifying factors in contributing to a successful centralized model function and understand how to set expectation with modeling stakeholders.

Description: Artificial intelligence is no longer an emerging technology — it is rapidly becoming the core engine of risk selection, pricing, underwriting, and customer interaction across insurance and financial services. But as models evolve into autonomous agentic systems and decision pipelines become more complex, traditional guardrails are being stress-tested like never before.

Description: Learn industry best practices including challenges faced by retirees, such as needing exposure to growth, most exposed to sequencing risk, and the need for smooth returns to avoid poor investor behavior caused by risk aversion. Other topics will include how to set investment objectives which consider the members’ real-world needs and how to build portfolios and implement risk management strategies to meet those objectives. The speaker will provide real-life examples/case studies.

Description: An update on the activities of the JRMS