Navigating the Anti-Money Laundering Compliance Landscape with Automation

Navigating the Anti-Money Laundering Compliance Landscape with Automation

Overview

This eSeminar is a recorded session of the webinar held on 20 July 2021.

The recent pandemic has led to a sudden rise in digital financial activities and resources working from home. As a result, the Anti-Money Laundering (‘AML’) landscape has become more challenging for Financial Institutions and other AML regulated entities (REs). The years ahead will be characterised by a tight budget environment where REs will need innovative yet effective ways to cut costs, and drive to improve efficiency and effectiveness in their AML and related financial crimes compliance programs. Logically, REs should explore automation, AI and machine learning techniques to achieve these goals.

In the eSeminar, the speaker covered how the pandemic has affected RE and their AML operations, and how technologies help enable AML modernisation.

Objective

By the end of the eSeminar, participants will be able to learn:
- The effects the pandemic has had on REs and their AML operations
- How advances in technologies such as AI/Machine learning enable AML modernisation
- Best practice in AML modernisation

Content

1. Revolutionising regulatory compliance & financial crimes detection by automation
2. The effects the pandemic has had on REs and their AML operations
3. What is AI/ML? What does it mean to securities industry? How do these technologies enable a company to improve AML efficiency while reducing operational costs?
4. Best practice in AML modernisation – case study from leading local bank /virtual bank
5. Q/A session

Who should attend

Senior management, Responsible officers, Managers-in-charge of AML/CFT, Money laundering reporting officers and Compliance professionals from Licensed Corporations and REs

Speaker/Course Instructor

Jason TANG
Jason Tang is Principal of the Customer Advisory team for SAS Hong Kong. He specialises in fraud and security intelligence solutions. An industry veteran with over 25 years of experience in enterprise technology, Jason has applied his extensive expertise and knowledge of fraud management for traditional banking and e-banking, anti-money laundering and data integration. Before his current role, Jason served as Head of Practices and Principal of the Enterprise Intelligence Platform for SAS Hong Kong.

Details

Code
TEEEC21001601
Venue
ePlatform
Language
English
Hours
SFC:1.00, PWMA:1.00
Fees
All Member: HK$180
Staff of Corporate Member: HK$180
Non-Member: HK$360
Please choose the language
ENG