Description: Review the exam solutions for the Fall 2025 Predictive Analytics (PA) Exam.

Description: Syllabus for Advanced Long-Term Actuarial Mathematics Exam

Description: "This session will explore the critical challenges and solutions surrounding algorithmic fairness in the life insurance industry. The presenters will delve into the fundamental mechanisms of model bias, examining how predictive algorithms can yield outcomes that systematically discriminate against certain groups through flawed machine learning processes, erroneous assumptions, or biased data. Participants will gain insights into the various manifestations of bias in insurance models and understand their profound implications for both consumers and insurers. Real-world case studies and examples from the insurance industry will illustrate these concepts, while a discussion of recent regulatory developments will provide context for compliance requirements. This session is essential for actuaries, data scientists, and insurance professionals committed to developing and maintaining ethical, unbiased predictive models."

Description: Beyond technical skills, actuaries who are interested in playing critical roles within their organizations and advancing their careers to higher levels must master the art of managing others. Early career development for actuaries is focused on building a strong technical and industry foundation. Once this foundation is in place, however, an actuary must quickly pivot from being a technical expert to being a manager and a leader-someone who others rely on to guide, motivate, decide, and deliver results. Managing a team is not (only) about being the 'go to' technical expert, it's about producing superior results through the work of others. It's often easier to do it yourself, but it's more beneficial to you professionally, and to your organization, to bring out the best in others.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical "answers" to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.