Enriching data and analytics to strengthen bank compliance

Presented by

Jack Jia, EY | Jamil Ahmed, HSBC Singapore | Zubin Chichgar, Standard Chartered | Irene Xu, SAS | Gerard McDonnell, SAS

About this talk

In this webinar, we uncover how data and analytics can also be used efficiently for financial regulatory issues, particularly within the Anti-Money Laundering space. Data and analytics combined with artificial intelligence (AI) technologies will be paramount for banks to predict and identify potential financial crime activities with good risk-based rigors. The goal is to ensure control effectiveness and achieve better outcomes for financial crime compliance. Discussion highlights include: • With increasingly rigorous regulatory requirements and growing levels of data, what are the challenges in fighting financial crime? • How data analytics enables timely and continuous detection of suspicious financial transactions in area such as AML, CFT sanctions screening, provide the right information required to deliver better performance in compliance? • How can banks reduce non-productive alerts being generated and be more efficient by taking risk-based approach, using hybrid analytics to manage alerts and respond fast at significantly lower cost with use of AI/ML? • How can banks embrace this new reality of innovation and maintain its competitive edge? • How do banks leveraging technology innovation to protect reputation and build social corporate responsibility whilst improving its business efficiency?

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