Building credit scoring process in Vietnamese commercial banks using machine learning
The industrial revolution 4.0 has affected the banking sector with the trend of transforming traditional banks into digital ones. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus on how risks are being detected, measured, reported and managed. Recently, the world has seen a huge amount of data gathered within financial institutions (FIs). Crediting activities of banks must change for adapting with this trending. Current credit scoring system for individual clients of commercial banks mainly input the data and customer’s information to provide the customer’s credit score which helps the banks to make lending decision.
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