Webinar Summary - Machine Learning (ML) based methods leverage vast amounts of data to dynamically create business decision rules and have the potential of disrupting the “status-quo”. While this class of models have been termed “black-box” and deemed unsuitable by some for applications such as risk & credit underwriting that mandate transparency, with the right governance framework and education some of the leading FI’s are starting to open the “black-box” and use ML-based models in their arsenal to solve business-critical problems.
This Webinar will discuss how it is done.
Speaker - Rahul Choudhary, Vice President - Portfolio Credit Risk & Economic Capital Modeling, MUFG
Rahul currently works at MUFG Union Bank (member of Mitsubishi UFJ Financial Group) where he manages the team responsible for modeling the bank’s Economic Capital as well as developing Early Warning indicators for several of the banks' key portfolios.