The bank's comprehensive risk management related technology is still in its infancy, and the risk management technology in some areas has yet to be developed. It needs to be based on the requirements of the Basel Accord_ On the other hand, combined with the development of the bank, we should create and innovate the direction management technology suitable for the bank. Give full play to the bank's advantages in information technology of domestic banking industry, enrich risk management means and improve the bank's risk management technology. By using big data, machine learning and other scientific and technological means, this paper explores and studies the development of intelligent risk control scenarios, enabling the pre -, in - and post process key work of risk management, such as regulatory information collection, external punishment information collection, illegal fund-raising monitoring, anti fraud and so on. Taking the case base of operational risk as an example, through the application of big data and intelligent system, the traditional way of case prevention and investigation is changed, and the transformation from manual to digital and automatic is completed. Through the construction of AI model, the risk is dynamically monitored and early warning is given in time, the risk personnel are locked and the clues of case investigation are provided, so as to prevent the risk and reduce the loss to the greatest extent, At the same time, the intelligent dashboard provides a one-stop panoramic view of risk monitoring dynamics, early warning trends and troubleshooting dynamics, so as to comprehensively and intuitively grasp the panorama of risk monitoring.<br>
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