Research on Risk Assessment Model Based on Python Financial Big Data

In the current big data environment, financial data presents the characteristics of massive and complex, efficient. Thus, the accurate assessment of corporate financial risk has become a concern. In this study, the limitations and shortcomings of existing risk assessment methods were analyzed to build a Python-based financial big data risk assessment model. The characteristics of financial big data and its application in risk management were used in the model. The experimental results showed that the financial big data risk assessment model is superior to the traditional methods in terms of forecasting accuracy and stability, better reveals potential risks, and provides a reference for enterprise decision-making.