Credit Risk is one of the key area where Data Science is leveraged heavily, and from many decades now. Today I will cover how Data Science plays a key role in Credit Risk, and they areas it is used.
The Document will help to understand key ways how a Credit Risk problem areas can be solved as well.
It covers:
1. What is Credit Risk?
2. How Data Science is Used in Credit Risk? Covering 4 areas:
a. Credit Scoring
b. Default Prediction
c. Fraud Detection
d. Portfolio Management
3. Stages of Customer Journey with a Bank Where Credit Risk Models Can Be Created:
a. Pre-Application Stage
b. Application Stage
c. Post Application Stage
d. Portfolio Management Stage
I hope you find this article useful. Follow along for more such content on “Data Science for All” and “Gen AI for All”.
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