27 Jan 2020
Reports of suspicious transactions submitted by banks and betting firms in Denmark have increased tenfold in recent years, straining anti-money laundering authorities which drew heavy criticism on Friday from a state auditor.
Banks across the Nordic region are facing increasing scrutiny by regulators after a string of money laundering scandals, including at Danske Bank (DANSKE.CO), Denmark’s biggest lender.
Since 2013 the number of suspicious transaction reports submitted to Denmark’s Financial Intelligence Unit (FIU), which investigates reports of suspected criminal behaviour, has risen tenfold to 53,454 in 2019, according to an FIU paper reviewed by Reuters.
According to the paper, a quarter of all reports last year were passed along to police or tax authorities for further investigation.
The arms and narcotics trades, human trafficking, cyber crime and forgery are known to be the primary types of criminal activities which use money-laundering to blur the origin of money, according to Europol.
Separately on Friday, Denmark’s national auditing agency said efforts to combat money laundering and terrorism financing by Danish ministries and authorities had not been effective or adequate.
The agency said the FIU’s electronic screening model was “too simple” and had a “range of weaknesses”, and that it had failed to process all relevant reports and forward these to authorities.
“Generally, we agree with the agency’s criticisms,” Jorgen Andersen, head of the FIU, told Reuters. He said the unit had improved its IT resources throughout last year and had more capacity after it was allocated further funds.
Nordic financial firms are on a hiring spree to beef up their compliance and anti-money laundering departments. Danske Bank said last year it would spend an additional 2 billion Danish crowns ($300 million) to improve IT systems and hire an additional 600 compliance workers.
Banks have invested heavily in regulatory technology, known as “regtech”, to automate the process of identifying new customers and teach computers to detect suspicious patterns in money flows.
By Nikolaj Skydsgaard, Reuters, 24 January 2020
Read more at Reuters
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