How to effectively detect trade-based money laundering and financial crime using an automated contextual approach to data

How to Effectively Tackle Trade-Based Money Laundering Risk

30% of all money laundering globally is conducted via trade.

 

There is growing regulatory pressure on financial institutions to improve inadequate trade-based money laundering risk.

 

Find out how an automated contextual solution can overcome the challenging complexity and scale of trade to consistently and effectively detect financial crime and trade-based money laundering.

 

You’ll learn…
  • New and different ways criminals are exploiting global trade to launder illicit funds
  • How to effectively detect trade-based money laundering and financial crime using an automated contextual approach to data
  • What a complex criminal network enabling the movement of corrupt funds may look like
  • Why collaboration and information sharing will be key to preventing trade-based money laundering risk

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