About the job
The Columbia University School of Professional Studies is actively seeking qualified candidates for the position of adjunct Lecturer for the Fall 2025 semester. This role involves teaching the graduate-level course Advanced Predictive Modeling Applications as part of the prestigious Master of Science degree program in Actuarial Science. We invite applications from scholar-practitioners who possess relevant academic credentials and substantial industry experience.
This course delves into Bayesian methods for estimating linear models, covering three key approaches for estimating the Bayesian posterior: grid approximation, quadratic approximation, and Markov Chain Monte Carlo (MCMC) methods. Students will learn how to apply Bayesian techniques to linear regression models, generalized linear models, and multilevel (linear mixed) models, as well as non-Bayesian methods for estimating these models. The course emphasizes building, estimating, and evaluating these models while selecting the most appropriate one for specific applications.
Importantly, this class encompasses significant content from Exam MAS II of the Casualty Actuarial Society and serves as a core component of the Actuarial Science program.
As an adjunct Lecturer, you will have a unique opportunity to educate and mentor aspiring professionals in Actuarial Science, while also establishing rewarding connections with Columbia University’s esteemed faculty. Candidates should have a strong grasp of both academic and practical trends that contribute to best practices within the field.

