Monitoring and Early Warning System Solution

-Monitoring and early warning system to practice the concept of big data wind control, "full business varieties", "multi-time window" and other ML models combined with business experience index system, efficient drive risk identification, to achieve accurate prediction of customer risk.
The monitoring and early warning system provides customers with a full range of financial security through real-time transaction monitoring, multi-factor authentication, anti-money laundering monitoring and other functions.

business pain points
-Traditional monitoring is difficult to fully cover potential fraud, money laundering and other unusual transactions.
-Traditional monitoring is inefficient and lacks timeliness and accuracy in risk management.
-Traditional rules and regulations, post-inspection and other methods have been difficult to meet business needs.

Business Objectives
Establish an active monitoring and early warning system of "model-driven, classified management, early warning, active exit and effective conduction" to realize the whole process of risk management from loan disbursement to loan settlement.

Core Functions
Early warning model management, indicator system management, real-time transaction monitoring, abnormal behavior identification, multiple authentication, fund security protection, high-risk customer identification, risk early warning, automatic disposal and manual intervention.

Customer Value
Through real-time monitoring of customers' trading behavior, identify abnormal patterns, such as large transfers in a short period of time, off-site transactions, etc., timely warning of potential risks.
-Adopt dynamic verification, biometrics, etc. to enhance account security and reduce the risk of customer account theft or illegal operation.
-Covering massive amounts of transaction data, identifying suspicious behavior through big data analysis, quickly disposing of risks, providing customers with a safer financial environment and avoiding accounts being used by criminals.