Building a framework to use banking data for learning, warning, and prevention

This project, in partnership with ATB Financial, will focus on the application and development of machine learning techniques in banking. We will delve into early prediction of customer events, such as encountering financial difficulties, that could indicate other issues and present opportune moments for ATB Financial to help customers get back on track. We will develop a framework to make statistical inferences from such early predictions of customer events to measure more accurately risks across the financial institution. Analyzing the situation around the 2016 Fort McMurray wildfire, a particular focus will be on the study of how people react to a disaster and change their banking transactions in such an event.

Faculty Supervisor:

Christoph Frei

Student:

Partner:

ATB Financial

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Alberta

Program: