Victor Jose's area of research interest and expertise is decision and risk analysis, with a particular focus on the development of prescriptive models and tools that could help managers make good decisions in uncertain environments. In particular, he has worked extensively in the areas of probability elicitation, forecast verification, and expert combination of forecasts. Aside from this, he also has a long-standing interest in Bayesian statistics and stochastic modeling. His work has appeared in leading academic journals such as Management Science and Operations Research.

Currently, Dr. Jose teaches the core undergraduate business statistics class. Aside from business statistics, he previously has taught classes in quantitative analysis, operations management, research methods, decision making, and spreadsheet modeling.