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Learn how machine learning can lower fraud risks and defend vulnerable customers.
Learn MoreAn 87-year-old Holocaust survivor is defrauded of his life’s savings in a 6-7 year romance scam. A major drug cartel diversifies its income stream by branching out into timeshare scams targeting seniors. A nationwide organized crime group dubbed “The Enterprise” tricks seniors into giving away “thousands to tens of thousands” on false pretenses.
What do all of these headlines have in common? They tell stories of seniors victimized by elder fraud, a form of elder financial exploitation (EFE). As a population sector more likely to suffer from isolation and increased vulnerability, the elderly represent an attractive target for criminals seeking to defraud them or use them to launder illegal funds.
EFE is a growing problem in jurisdictions around the world. To protect their most vulnerable customers, firms should understand what it is and how to spot its warning signs. An accurate understanding of this growing risk can ensure fraud and anti-money laundering frameworks truly defend even the most vulnerable.
Elder financial exploitation (EFE) is the most common form of elder abuse and involves misusing (often illegally) elderly people’s finances, assets, or possessions. The perpetrators of EFE may be close to their victims, friends, and family members, or maybe strangers such as online or offshore scammers. Perpetrators may seek to move the proceeds of EFE using financial products and instruments, meaning that financial institutions are on the first lines for fighting this type of illegal activity.
EFE incidents have increased significantly over the last decade, with over 72,000 related suspicious activity reports (SAR) filed with the United States Financial Crimes Enforcement Network (FinCEN) in 2021 alone. The financial impact of Elder Financial Exploitation is significant: in 2022, complaints received by the FBI suggest that individual victims lost an average of $35,101 each, amounting to $3.1 billion total — an 87 percent increase from 2021. Since those figures relate only to information derived from official complaints, the real-world financial impact is likely far greater. EFE may be more prevalent in areas experiencing financial adversity or types of crisis which leave the elderly exposed to risk.
The FBI’s 2022 Elder Fraud report details a variety of EFE methodologies. While some perpetrators may use the threat of violence or intimidation to extract funds from elderly people, others may engage in scams to leverage financial products and instruments in a manner that avoids regulatory scrutiny. The FBI includes the following among top typologies for 2022 (see the full report for more details):
Other types of EFE to be aware of include:
FinCEN has released advisory guidance setting out 34 ‘red flag’ characteristics of elder financial exploitation. Those red flags include:
More than 50 percent of Elder Financial Exploitation incidents reported to FinCEN between 2013 and 2017 involved the transfer of funds from an elderly person’s account while checking accounts, credit cards, and money orders were also misused. EFE incidents tended to take place over months (with four months being the average), and only 28 percent of those incidents were reported to state or federal authorities by victims or their family members.
The figures reveal not only the scale of the EFE problem and the need for greater protection for vulnerable elderly people but the important role that financial institutions play in detecting and preventing abuse.
Under the Bank Secrecy Act (BSA) and FINCEN’s advisory guidance, when banks, financial institutions, and other obligated entities detect suspicious financial activity, including EFE, they must submit a suspicious activity report (SAR) to FINCEN. SARs are used to trigger and inform investigations by law enforcement agencies into incidents of money laundering, fraud, and the financing of terrorism, which may be connected to or predicated by elder financial exploitation. FinCEN’s electronic SAR filing includes a designated category for EFE, with the instruction for filers to set out a description of the type of activity involved.
Firms may be able to detect EFE using the controls and measures deployed as part of their BSA AML/CFT programs, which include identity verification and transaction monitoring. Those measures should be risk-based, meaning that they should be deployed in proportion to the level of criminal risk that their customers and transactions present. With that in mind, a suitable AML program should feature:
Reported cases of Elder Financial Exploitation represent only 2 percent of the estimated 3.5 million cases that occur in the United States every year. The growing number of EFE SARs reveals a widespread and damaging problem with serious implications for aging populations in the US and around the world and a need for strong, decisive responses from financial institutions and law enforcement agencies alike.
Learn how machine learning can lower fraud risks and defend vulnerable customers.
Learn MoreOriginally published 30 November 2020, updated 06 August 2024
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