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Challenges in Countering Trade-Based Money Laundering

FICO

In part 1 of the series on trade-based money laundering (TBML) , we established a definition of the term, explored some recent studies and highlighted some typical techniques employed by the criminals. The graph below shows the trend of TBML-related SARs filed with FinCEN between 2014 and 2018. Financial institutions in the U.S.

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AMLYZE: Is the Global Anti-Money Laundering (AML) System Broken?

The Fintech Times

In the last two decades, anti-money laundering (AML) regulatory framework, processes and mechanisms have not changed much. As a result, fraudsters are capitalising on firms’ inadequacies to spot and deal with money laundering. Is the global anti-money laundering (AML) system broken? What’s the problem?

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AI Meets AML: How Smart Analytics Fight Money Laundering

FICO

One of the places where AI can make a huge difference today is in anti-money laundering (AML). As regulations become ever more demanding, the rules-based systems grow more and more complex with hundreds of rules driving know your customer (KYC) activity and Suspicious Activity Report (SAR) filing.

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How to Maintain Anti-Money Laundering Compliance as a PayFac

Stax

According to a UN report, money laundering activities of about $1.6 The US, therefore, requires financial institutions as well as financial services firms to have anti-money laundering (or AML) compliance programs in place. trillion took place in 2020, accounting for about 2.7% of global GDP. Let’s get started.

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FinCEN Hits Capital One For $390 Million; Says Bank Violated Bank Secrecy Act

PYMNTS

According to a statement from FinCEN , Capital One admitted to failing to implement and maintain an effective anti-money laundering (AML) program. Capital One provided banking services to the group and became aware of compliance and money-laundering risks associated with the group’s customers. financial system.”.

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FICO’s New AML Scores Use AI and Machine Learning to Detect More Money Laundering

FICO

FICO’s New AML Scores Use AI and Machine Learning to Detect More Money Laundering. New AML scores reduce false positive alerts by 50% while detecting 100% of known money laundering transactions, and discover new aberrant, potentially risky behaviors. AML Threat Score: Reducing False Positives Amid Defensive SAR Filings.

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Next step in AML overhaul: Simplify SARs

Payments Source

Now it's time for regulators to further ease anti-money-laundering reporting requirements by freeing them from filing duplicative or unnecessary suspicious activity reports. Congress acted first when it freed financial firms from having to disclose the beneficial owners of commercial clients.

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