Analysis: Oil collapse leaves Singapore traders scrambling
By 
Martin Woods2020-05-12T13:04:00
Recent fraud complaints at oil traders in Singapore highlight the risks in the international business of commodity finance, where high prices provide high rewards and low prices can leave lenders exposed.
Related articles
-
ArticleAnalysis: How to handle the heat of boiler room fraud
Financial crime expert Martin Woods explains how compliance professionals can do their part in rooting out boiler room/investment frauds, citing a recent story from a call center in Kiev.
-
ArticleAnalysis: The problem with keeping a secret
You can’t hide behind the numbers, as numerous banks, including Bank Hapoalim, found out recently when rampant tax evasion took hold in Switzerland.
-
ArticleCyber-criminals have supply chains, too
All cyber-attacks leave a trail. These trails can be complex, of course, but the criminals cannot avoid them. Thus, they leave a supply chain of intelligence and data.
More from Risk Management
-
ArticleRapid regulatory change requires investment in compliance processes in financial services firms
Geopolitical instability and a general focus on increasing growth and productivity by governments worldwide are causing a slew of regulatory changes in the financial services sector. But most firms are failing to identify potential compliance changes early enough to make meaningful decisions.
-
ArticleCompliance should protect firms from AI-washing investigations and insurance claims
Insurance firms are warning that AI-washing could trigger a slew of cases against directors, and are adjusting their directors’ and officers’ liability premiums accordingly. With regulators cracking down on AI-washing, compliance could be a crucial line of defense and save companies on their insurance costs.
-
News BriefAI hallucinations in Deloitte Australia report highlight important role for compliance
“Hallucinatory” citations and errors in an AI-assisted report produced by Deloitte for the Australian government should be a wake-up call for compliance officers about the risks of placing too much trust in AI.