Slice Finder: Application to Stress Testing

The project aims to use state-of-the-art machine learning techniques to perform model validation. In particular, the intern will validate outcomes from risk assessment models for loan portfolios. The results will be employed to further the efficiency of ATB’s internal stress testing models. The benefit for ATB financial will be the possibility to detect subsamples for which model fit might be poor, which will yield insights and, hopefully, improvement to stress testing.

Faculty Supervisor:

Valentina Galvani;Sebastian Fossati Pereira

Student:

Reginald Acquah

Partner:

ATB Financial

Discipline:

Economics

Sector:

Finance, insurance and business

University:

University of Alberta

Program:

Accelerate

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