Actuarial Studies Research

The Actuarial Studies Research Group at the Institute of Finance Management is pioneering the integration of advanced predictive analytics and machine learning into the core of Tanzania's financial and insurance sectors, moving beyond traditional models to harness big data for sophisticated risk quantification and future-proofing. Utilizing powerful computational statistics, stochastic modeling, and AI-driven simulation techniques, the group develops next-generation actuarial models that analyze vast datasets—from climate patterns impacting agriculture to demographic shifts and telehealth data—to price innovative insurance products and ensure solvency in a dynamic economy. Their research is critical in de-risking Tanzania's digital transformation, creating algorithmic frameworks for micro-insurance platforms, parametric weather-indexed policies for farmers, and predictive health finance models that expand access and protect vulnerable populations. By building these data-intelligent systems and cultivating a local pipeline of actuarial talent equipped with modern tech skills, the group provides the essential analytical backbone for building a resilient, inclusive, and digitally-native financial ecosystem in Tanzania.