Credit Risk Modelling and Analytics
About This Course
Banking industry has been the early adopters of predictive modelling techniques starting with credit scoring system in late 50’s. Ever since, all banks in the world use credit score for their underwriting, account management etc. for their high-volume loan products. Now all the non-banking financial institutions, auto-finance etc. companies are also using these tools for automated credit screening purposes.
Large banks have their internal risk analytics team who builds these scorecards and they are primarily used for unsecured loans e.g. Credit Card, Personal Loan etc. Many others also uses external vendors to develop these models. Developing, maintaining and if necessary re-development of these tools is one of the major activities of the risk management departments. They are the primary automation tools to manage the high-volume loan products.
What You'll Learn
Developing A, B, C scores using various machine learning algorithms
How to ensure that the tools are regulatory compliant
How to implement the tools in the system
How to use the tools for the acquisition and portfolio management correctly
How to manage/maintain such tools
When to redevelop the tools once the Score predictability deteriorates
Entry Requirements
Please see course weblink for more information