Research on Credit Risk Models of Commercial Banks in the Context of Digital Finance

Digital finance is a crucial part of the Five Major Articles in the digital finance era, representing not merely a technology-driven innovative endeavor but also serves as a cornerstone for advancing high-quality economic development and constructing a modern financial architecture. Its evolution integrates cutting-edge technological applications with systemic financial reforms, thereby fostering inclusive growth, optimizing resource allocation efficiency. Credit risk management models for commercial banks are a common focus nowadays for both the academic and practical fields. This paper categorizes the fundamental risk control models and analyzes real-world cases. The findings indicate that although commercial banks actively adopt new models and have proposed new evaluation criteria for the technology sector, these models still face issues such as high training costs, poor interpretability, and inadequate early warning capabilities. Simultaneously, data quality also constitutes a persistent concern. In conclusion, credit risk models still have significant room for optimization in the context of the digital finance era.