How to Prioritize Risk During Customer Onboarding
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Read nowWhile embezzlement and money laundering are both financial offenses that often involve the movement of large sums of money, the terms are far from interchangeable. According to the United Nations Office on Drugs and Crime (UNODC), between two and five percent of global GDP is laundered annually – amounting to approximately $800 billion to $2 trillion. While both money laundering and embezzlement threaten the stability of the legitimate global economy, embezzlement can have a more localized impact. In Hiscox’s Embezzlement Survey, it was noted, “Companies [that fell] victim to embezzlement lost far more than money: they lost customers, had more difficulty attracting new customers, and lost business partners.”
This article will help to explain the major differences between money laundering and embezzlement and consider the potential consequences for white-collar criminals engaging in either.
Embezzlement is a white-collar crime where an individual or organization intentionally misuses the assets entrusted to them for personal financial gain.
Examples of embezzlement include:
Money laundering is also a white-collar crime where a person or organization attempts to hide the original source of funds – often those generated as the proceeds of crime – so that the funds can be spent or transferred legitimately.
Money laundering operations typically involve three stages to obfuscate the original source of the cash:
Money laundering examples can include:
Effective money laundering operations may involve thousands, if not millions, of dollars. As a result, it is not unusual to sacrifice up to 50 percent of funds during the laundering process – but this significant loss is considered to be just part of the cost of “doing business”.
Explore our 5-part training series and learn how to manage risk during the customer onboarding process.
Read nowEmbezzlers have a legal right to manage or move funds around, but they misappropriate them for personal gain. Money launderers, however, move money they have obtained illegally to distance the funds from their source before returning them to themselves or their clients.
Just as definitions of these white-collar crimes differ between jurisdictions, so do the penalties. For example, in the United States, for example, crimes are assessed according to the sums of money involved. Any case where embezzled funds total more than $1000 becomes a federal offense with a minimum jail term of 10 years and a $15,000 fine – assuming there are no aggravating factors.
The penalties for money laundering are also considered in terms of the money involved. US courts can hand down prison sentences of up to 20 years. This is accompanied by a fine of $500,000 – or double the amount laundered by the defendant, whichever is greater.
Similarly, harsh punishments are applied to embezzlement and money laundering elsewhere in the world.
It is worth noting that any financial intermediaries involved in money laundering, even unwittingly, also face penalties. Most developed countries expect banks to operate effective anti-money laundering (AML) compliance programs designed to identify and report suspicious activity to the relevant authorities. Failure to meet these compliance obligations also carries heavy penalties – $13.74bn worth of fines were issued to financial bodies in 2021 for failing to properly discharge their anti-money laundering (AML) duties.
Financial institutions have an obligation to reduce money laundering, with the fines for failing to actively assist in AML activities carrying heavy penalties.
To meet their regulatory obligations, banks need systems that allow them to accurately analyze account activity to highlight potentially suspicious transactions. Given the vast number of movements and settlements that occur every minute, firms need to employ artificial intelligence (AI) powered analytics, as humans simply cannot keep pace.
Using the ComplyAdvantage REST API, firms can monitor transactions and screen customers in real-time to detect financial crimes. Incoming and outgoing payments can be checked against sanctions and watchlists, PEP registers, and adverse media, with potential risks being flagged so analysts can determine whether a transaction should be blocked or can proceed.
Risks relating to embezzlement, or other money laundering predicate offenses, may also be flagged by solutions that utilize machine learning algorithms, as they can be programmed to detect activity inconsistent with an account’s risk profile.
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Demo requestOriginally published 24 May 2023, updated 20 March 2024
Disclaimer: This is for general information only. The information presented does not constitute legal advice. ComplyAdvantage accepts no responsibility for any information contained herein and disclaims and excludes any liability in respect of the contents or for action taken based on this information.
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