Presenter(s): Isaac Espinoza, FCAS, FSA, MAAA; Brian Z. Brown, FCAS, MAAA; H Elizabeth Mitchell, FCAS, MAAA

Description: C-suite executives have a range of skills outside of their technical skills. Some of the most important skills are leadership, communication, as well as motivating and managing staff. These skills are typically not learned through textbooks but are acquired through practice. This session will highlight approaches that actuaries can use to develop these skills. Our panelist will also share perspectives and experience on how effective Actuarial Leaders are empowering their teams to think differently, modernize their capabilities and leverage analytics to advance the business strategy. This session will focus on some of the hurdles that different groups may face in the current workplace (e.g. women, younger versus older generations, different cultures etc.) and discuss approaches for overcoming the hurdles.

Presenter(s): Jeremy Shoemaker, FCAS MAAA CERA; Esther Becker, ACAS, MAAA; Kenneth Hsu, FCAS, CSPA, MAAA, CPCU

Description: Your CE Log is one of the most critical, yet often overlooked, responsibilities of a practicing actuary. With about 1% of members selected for review each year, this session demystifies the CE review process in a clear, practical way. We will walk through USQS requirements, common pitfalls, and simple steps to keep your CE log review-ready at all times. Bring your questions and be ready to test your knowledge in this interactive, engaging session.

Presenter(s): Nate Loughin, ACAS; Freddie Galloway, FCAS, MAAA

Description: Maybe you're considering taking on a new role in pricing or underwriting. Maybe you're facing a leadership mandate to deploy more predictive analytics. Maybe you just feel like the last person on earth who has never built a gradient boost model. In this "how to", hands-on session we will start with a basic set of data files and build a predictive model together. You'll leave with greater confidence and a worked example you can return to over time. All that's required is your laptop, your presence, and an installation of R and RStudio (free products).

Presenter(s): Seong-min Eom, MAAA, FSA, PRM; Nathan Luketin, FCAS, MAAA; Dorothy Andrews, PhD, MAAA, ASA, CSPA

Description: As extreme weather intensifies, actuaries face a complex challenge: distinguishing natural variability from the quantifiable impacts of human-driven climate change. This distinction is now foundational for resilient modeling and financial stability. This session explores climate attribution science—quantifying the human influence on weather extremes—and how it reshapes risk assessment. By identifying the climate change “fingerprint” in events like hurricanes and wildfires, this science provides a forward-looking framework that complements traditional historical data.

The session will highlight how the actuarial profession can bridge climate science and financial modeling, helping companies and policymakers better anticipate and adapt to the realities of a warming world.

Presenter(s): Christopher Cooksey, FCAS, MAAA, CSPA; Clara Yam, FCAS

Description: The typical pace for insurers in the personal and small commercial lines is to file 1-2 rate changes per year per state. There are plenty of practical reasons for this. Resource constraints within companies can make this the upper limit of what can be supported. Many departments of insurance can barely keep up with the existing number of filings anyway. But what are we giving up by accepting these limitations? Where would we see the impact of increased ratemaking agility? Is the important thing how often we file rate changes, or the recency of the analyses we are filing?

In this session, we simulate the impact of filing frequency under different economic scenarios - stable loss trends and sudden spikes. We show the resulting inaccuracies in pricing due to timing alone, and discuss how these stem from the time lag between modeled data and target predicted date. We will consider the impact of regulatory review as one component of this time lag, and model the cost of longer versus shorter review processes. We will also consider the impact of market changes due to competitor actions, and see if slow response times can lead to adverse selection.