Research on the Construction of Financial Risk Platform Based on Big Data

Abstract

The rapid development and mature application of mobile Internet technologies such as big data, cloud computing, artificial intelligence, and blockchain have provided a strong impetus for the integration of technology and finance and promoted the innovation and reform of financial management models. At the same time, in the face of increasingly complex financial market environments, traditional financial risk management, and early warning methods are becoming more and more passive and backward, facing unprecedented challenges in business management models, new technology application capabilities, and risk prevention systems. Facing the increasingly complex financial market environment, traditional risk management and early warning methods are becoming more and more passive and backward, unable to meet the real-time and dynamic monitoring and early warning of risk information, and cannot meet the efficiency requirements of financial business management in the era of big data. Traditional risk management methods are relatively advanced in terms of timeliness and business guidance of risk early warning management and have become a bottleneck. This article uses big data technology to realize the integration of internal and external data of financial institutions, builds a high-performance big data collection, storage, and analysis platform, efficiently integrates various types of information and data and applies them to risk control, and enhances the intelligence and automation of risk management and control. level. The results show that the financial risk prediction model of the platform is effective.