Read our Guide to Customer Onboarding
This 5-part training series is designed to enable you to mitigate risks you may encounter during the customer onboarding process. Learn more and earn a certificate at the end.
Read the GuideFinancial institutions face an expanding spectrum of money laundering threats, and modern financial criminals have a range of tools at their disposal to avoid countermeasures put in place to stop them. Accordingly, to balance efficiency and cost needs with compliance obligations, financial institutions must be able to respond to threats on a contextual basis. The most effective way to achieve that objective is to take a risk based approach, meaning an AML compliance program tailored to the individual levels of risk exposure that each customer presents.
Prior to the introduction of risk based approaches to AML, banks and financial institutions would manage their compliance obligations using a ‘checkbox’ approach – that is, simply fulfilling a standardized list of AML requirements for every customer. While that standardized approach prevailed in the 1990s, the UK’s Financial Services Authority (FSA), first proposed a “risk based” approach in its 2000 publication A New Regulator for the New Millennium. The concept of risk-based AML was first implemented in 2007 by the Financial Action Task Force and further codified in its 2012 update to the International Standards on Combating Money Laundering and the Financing of Terrorism and Proliferation – also known as the ‘40 Recommendations’.
The FATF’s 2012 endorsement of the risk based approach to AML set the global standard and ensured its ongoing use across all FATF member-states.
This 5-part training series is designed to enable you to mitigate risks you may encounter during the customer onboarding process. Learn more and earn a certificate at the end.
Read the GuideIn principle, the risk based approach to AML shifts the focus of AML compliance from post-analysis of data, to proactive judgment. Financial institutions must work on an ongoing basis to understand the money laundering threats they face and deploy commensurate measures to manage their risk exposure.
In practice, this means that customers may be classified individually by their risk exposure – and that ‘higher risk’ customers are under greater levels of AML scrutiny. Broadly, the risk based approach to AML allows financial institutions to:
Implemented effectively, the risk based approach allows for a balanced integration of human judgement and smart technology in the AML compliance process.
Accurate risk assessment is central to the risk based approach to AML, there are two distinct categories of risk that inform financial institutions’ compliance efforts. The first is the idea of geographic risk: the vulnerability to money laundering threats that countries face at a national level. The second is the idea of individual risk, the specific risks that financial institutions face from their clients and how their internal AML process manages that risk. In performing risk assessment, financial institutions must take into account:
Business Specifics: Are there more specific risks which the firm might be exposed to – for example, those presented by specific customers, products, or geographic location?
In compliance with the FATF recommendations, financial institutions must implement a risk based AML program that includes a number of important measures, each designed to accurately identify individual customers and clients, and the businesses in which they are involved. In more detail, financial institutions must:
Ongoing Monitoring:The risk based approach to AML compliance is a process, which means customers should be subject to ongoing monitoring throughout the business relationship. Ongoing monitoring is important because customers’ risk profiles can change over time. Financial institutions must be able to react to new levels of risk exposure to ensure emerging money laundering threats are identified as quickly as possible.
Automate onboarding and monitoring processes, whilst minimizing false positives, by utilizing a live global AML database of Sanctions and Watchlists, Politically Exposed Persons and Adverse Media.
Request DemosOriginally published 16 August 2019, updated 15 November 2022
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