Analysis: When clean money is used for dirty purposes
By 
Martin Woods2020-07-10T16:28:00
There are times when it is a necessary to consider where clean money is going to as much as where dirty money may have come from, writes financial crime expert Martin Woods.
Related articles
-
ArticleHaving difficult conversations is key to modern compliance
Now more than ever, difficult conversations are necessary and increasingly expected of compliance professionals. Financial crime expert Martin Woods has some ideas on how to make them less painful.
-
ArticleU.K.’s Russia report underscores need to question big money
The U.K.’s long-awaited report on Russian interference in the country stresses the importance for big money to be subject to enhanced levels of due diligence, writes financial crime expert Martin Woods.
-
ArticleUsing data to fight fraud fire with fire
When it comes to ferreting out and thwarting fraud, one must think like the fraudster, advises financial crime expert Martin Woods, who offers tips on using data to make your firm a hostile environment for bad actors.
More from Opinion
-
OpinionAI adoption without trust: A call for compliance professionals
Employees are adopting AI faster than companies can build policies, governance, and training. That gap creates compliance exposure in areas from data privacy to shadow IT to workplace equity.
-
NewsThe Banks behind Jeffrey Epstein: Why the story matters now more than ever
The Epstein case remains a defining moment for financial institutions. As new investigations bring renewed attention to his enablers, Compliance Week’s 2024 case study offers not only a timeline of failures but a path forward. Here’s what banks, regulators, and compliance teams must learn from it.
-
OpinionA friend for the compliance officer: Co-thinking with AI
At their core, compliance officers are problem-solvers. They wrestle with thorny questions every day: How do we implement a global gifts-and-entertainment policy across jurisdictions with vastly different cultural norms? How do we balance business pressures with anti-corruption obligations? How do we address new risks like AI itself?