Tag: Credit Risk

Blog Financial Services

4 Big Insights On the Future of Credit Risk Management in a Post-COVID World

With over 20 million recorded cases, and nearly 750 thousand deaths (as in mid-August 2020), COVID-19 is here to stay. Economies across the world are in different stages — from…

Machine Learning

The 4 Ways Banks Are Using Machine Learning

Banks have always had a close relationship with Data. From back in the days of the crusades when banks first came into existence  by the Knight Templars , right to…

Advanced Analytics Machine Learning Predictive Analytics

Credit Risk Scorecard Monitoring and Tracking

Nowadays, Retail Banks are more focused on finding or discriminating the right clients and the wrong ones (Defaulters). From a Credit Risk perspective, a Good Client will be a customer/applicant who has least chances to do default (a low-risk client) i.e. the applicant has low chances to perform default in his obligations. This detection process of identifying or separating a Good & bad applicant/client is where Credit Risk Scorecard comes into play.