Analyzing Risk-oriented Transactions

The heart of MLDS is an intelligent analysis module that brings together all available data on customers, transactions, and histories, and then evaluates them with respect to various risk scenarios.  This high quality identification of unusual transactions is the result of many years of practical experience and constant optimization of the modeled business logic.

Identifying Unusual Transactions and Suspicious Transaction Patterns

Transactions are analyzed taking into account the individual risk classification and the information contained in the KYC profile.  Conclusions can thus be reached as to whether the amount of a transaction or deposit is, in fact, unusual.  MLDS also identifies suspicious transaction patterns, such as pass-through transactions.

Graphically Model Rules - without IT Support

The rules applied to identify unusual transactions are modeled graphically with Visual Rules. The compliance department can define and revise the monitoring of the rules without the support of IT. 

The Result: Initiate Clarification Actions

Rule-based analysis marks and prioritizes the transactions or events identified as unusual.  To support the editor, MLDS delivers reasons with extensive explanations as to why a transaction was found to be unusual.  Next, the required steps for clarification are initiated automatically, using defined processes.