The latest ACPR inspections highlight the many shortcomings in the analysis of financial flows in AML/CFT systems. The regulator’s expectations are changing (see our analysis here).
Risky transactions
Depending on the nature of the financial exchanges (incoming, outgoing, automatic, punctual, etc.), the motivation for the exchange, the third-party beneficiary, some transactions require the drafting of an audit trail. This flow analysis can be aggravated by screening the people concerned. Among the standard criteria for analyzing transactions, we find :
- direct amounts
- cumulative amounts
- amount-to-income ratio
- foreign countries included in the transaction
- transactions to “risky” banks (online banking, fintech, etc.)
- transactions to accounts in the client’s name
3 scenarios types
The AfterData solution simultaneously uses standard scenarios directly available in the solution library, “custom” scenarios freely created by customers and Intelligent scenarios based on machine learning algorithms.
This multi-technology approach allows for a real optimization of the detection of the risks of money laundering attempts while drastically limiting false alarms.
