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Adopting a risk-based approach to AML and financial crime management

The panel

  • Matthew Field, Asia-Pacific Market Director, Anti-Money Laundering (AML), NICE Actimize
  • Maggie Qiu, Head of Sanctions, Financial Crime Compliance, Greater China and North Asia, Standard Chartered Bank
  • Nick Davison, Partner, Financial Crime Unit, Southeast Asia, PwC
  • Michael Clarson, Director, Asia-Pacific Regional Head, Global Investigations Unit, AML, Citibank
  • Moderator: Blake Evans-Pritchard, Hong Kong Bureau Chief, Risk.net

Amid current emerging risks and challenges – heightened by the Covid-19 pandemic – the threat of money laundering and fraud has meant financial organisations must be more active in assessing the risks associated with illicit activities to take prioritised control measures. 

This webinar explores risk management strategies to develop an effective anti-money laundering (AML) and financial crime programme, and addresses the unprecedented challenges of Covid-19 and how they will impact AML systems, combating the financing of terrorism and due diligence processes.

Key topics discussed: 

  • Essential components of a risk-based approach to financial crime management
  • The role of artificial intelligence (AI) and machine learning in identifying suspicious customers and activities
  • Appropriate data governance for AI and machine learning to be effective
  • How financial institutions can enhance their agility in adapting to the rapidly changing AML environment
  • Examples of optimising AML from a compliance checkbox to a value-adding function.
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