Data Sources Used in Credit Risk Models | Must Know for Risk Analysts
Автор: Risk Modelling Hub
Загружено: 2026-03-14
Просмотров: 7
Описание:
In this video, we explain data sources used in credit risk modelling and where banks actually get the data used to build risk models.
Credit risk models are used by banks to predict Probability of Default(PD) and evaluate whether a borrower will repay a loan. But these models depend heavily on the quality and sources of data used during model development.
In this video you will learn:
Internal bank data used in credit risk models
Credit bureau data used for borrower risk assessment
Alternative data sources used by fintech lenders
Public data and third-party datasets
How banks combine multiple datasets for model development
The video is useful for :
Credit risk analysts
Risk modelling professionals
Data scientists in banking
Students preparing for credit risk interviews
Anyone learning scorecard modelling
On this channel @riskmodellinghub , we explain real banking concepts such as:
Credit risk modelling
PD, LGD and EAD modelling
Machine learning in credit risk
Model validation
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#creditrisk #riskmodelling #riskmanagement #banking #analytics
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