Fighting Financial Crime with Machine Learning Innovations

By Soumik Roy


WITH cross-border communications soaring and digital transactions becoming more rampant, fighting money laundering has become more complicated than it previously was.

As a result, financial institutions are experimenting with all kinds of technology to safeguard their customers and block out bad actors. Increasingly, in the fight against money laundering, artificial intelligence (AI) and more specifically, machine learning (ML), seems to be providing a strong defense.


Whether you look at international giants such as HSBC and Standard Chartered Bank or regional banks such as Maybank and DBS, everyone is collaborating with fintechs or developing their own in-house AI/ML solution to fight financial crime.


Banks, due to their very nature, have access to tremendous volumes of data. Hence, with AI/ML on their side, they’re able to quickly build models and frameworks that learn what “ordinary and regular” looks like and pinpoint transactions that should be scrutinised further.


The number of non-cash transactions in Asia is expected to reach 277 billion by 2020, according to the World Payments Report 2017 — and there’s no telling which of those are being initiated by bad actors intending to launder money using new and innovative schemes.Being automated, for the most part, it helps make executives much more efficient and allows the bank or financial institution to pay attention to every single transaction despite the large volumes.


EY, for example, helped European financial services giant Nordea build a model that helped weed out false positives and put the spotlight on transactions that actually deserved immediate attention.


“Like the algorithms that help online retailers target customers according to their taste in brands, the model we built with Nordea became more insightful and accurate as it learned how to interpret the signals that indicate criminal activity, analysing vastly greater quantities of data, more reliably, than existing people or processes could,” explained EY executives through a case study.


Why use AI to fight financial crime?


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Source: www.asiancorrespondent.com

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