Beyond AML Compliance: How to Improve Transaction Monitoring through Analytics and AI

Beyond AML Compliance: How to Improve Transaction Monitoring through Analytics and AI

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Overview

At this seminar, we are pleased to have Deloitte and SAS experts share on anti-money laundering (AML) transaction monitoring. Key points of the talk will include:
- How to improve transaction monitoring from a regulatory perspective, and the industry trends
- AML best practice sharing
- Customer due diligence and on-going monitoring
- The application of machine learning and artificial intelligence (AI) – identifying suspicious transactions with analytics

Speaker/Course Instructor

CHEUNG Chris Fung Yu
Mr Chris Cheung is a Partner at Deloitte Forensic, China/Hong Kong specialising in financial crime compliance, anti-money laundering, sanctions, and analytics. Over the last 18 years, he was involved in a wide range of projects in terms of national/ sectoral/ industry coverage, product/ service variety as well as scale and depth. Examples include national/ sectorial/ institutional risk assessments, regulatory lookbacks, advisory, remediation, compliance and internal audit, independent regulatory review across Greater China and addressing regulatory needs throughout Asia and the US. He is also an active speaker with professional and regulatory bodies.
CHOW Wallace
Mr Wallace Chow is an experienced anti-money laundering (AML) specialist. He has worked in the banking, securities and telco sectors to help organisations comply with regulations through AML system. He has solid business domain knowledge and is subject matter expert with industry experience on AML and fraud & compliance solutions. He has been involved in numerous AML solution projects which includes project implementation, system tuning and business processing re-engineering, as well as system enhancement in meeting regulatory requirement, etc. for major banks in Hong Kong. Previously, he worked on software development and integration for one of the largest technology company. He implemented several complex and large-scale projects for different industries.

Details

Code
ESOTH17120502
Date & Time
Tuesday, 5 Dec 2017 (12:20PM - 1:20PM)
Venue
HKSI Institute Training Centre
Language
English
Hours
SFC:1.0, PWMA:1.0