Existing AML solutions monitoring financial markets typically have a fragmented understanding of customer risk, as they predominantly focus on KYC and settlement data and lack the ability to accurately analyse trade behaviour. This makes them unable to build a comprehensive picture of the money laundering risk that a particular customer poses.
Providing an overall risk score for each customer enables surveillance teams to identify the highest-risk customer. For each customer, AMLA flags the riskiest metrics, days, instruments, and associated trades to aid investigation.
Analysing trade economics means AMLA can detect hidden connections by assessing the likelihood and frequency at which risk is offset from one customer to another. This is key for detecting mirror trading.
The customer risk scorecard provides surveillance analysts with a customer risk summary, informing them of any concentrated risk particularly by metric, day, instrument or trade. This ultimately helps direct analysts to the primary focus of their investigation.
In this report, we discuss the growing attention that regulators are placing on financial markets money laundering and the reasons why banks need to focus on this.
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