| Size: 639.89 MB[/center]
| Duration: 1h 54m
TBML Typologies | Red Flags and Risk Indicators | Case Studies | AI/ML in combating TBML

What you'll learn

Learn the Fundamentals of Trade Based Money Laundering (TBML)

Master the Basics of Methods and Typologies in TBML

Identify Red Flags and Risk Indicators of a possible TBML transaction

Stay Ahead in the Competitive Global Trade Environment by knowing the use of AI/ML in combating TBML

Requirements

No prerequisites

Description

A 360 degree overview of Trade Based Money Laundering (TBML) covering all the basic concepts 50+ Multiple Choice QuestionsLatest Update 2024 - Use of AI/ ML in combating Money LaunderingTrade Based Money Laundering (TBML) is a vast and ever-changing subject. It has been a massive pain point for regulatory bodies and financial institutions since decades. As a trade finance practitioner, or a international trader it is an absolute necessity to have a basic knowledge about trade based money laundering. This course provides you an overview about TBML in a no-nonsense, compact and easy-to-understand way. This course starts from the very basics, goes through all the essential knowledge of TBML techniques and typologies, red flags and risk indicators and control mechanisms. It also covers how artificial intelligence and machine learning (AI/ML) is changing the way trade based money laundering is countered.With quizzes, practice test combined with English captioning, you are well equipped to up-skill yourself most effectively when you enroll in this course.Ideal for:Trade Finance PractitionersBusiness Analysts and Consultants of Trade FinanceEntrepreneurs and Small Business Owners Engaged in Global TradeWhat this course covers:Introduction to Trade Based Money LaunderingTrade Based Money Laundering (TBML) Vs Trade Based Financial Crime (TBFC)Trade Based Money Laundering Techniques and TypologiesGoverning/ Contributing bodies related to Trade Based Money laundering and Financial CrimesTBML Red flags/ Risk IndicatorsTBML Case StudiesControl Mechanisms to counter TBMLUse of AI/ ML in combating Money LaunderingResourcesPractice Test

Overview

Section 1: Introduction to Trade Based Money Laundering

Lecture 1 What to expect from the course?

Lecture 2 Trade Based Money Laundering - Why learn at all?

Lecture 3 Revise - Main aspects of International Trade

Lecture 4 How is TBML different from other money laundering methods?

Section 2: Trade Based Money Laundering (TBML) Vs Trade Based Financial Crime (TBFC)

Lecture 5 Differences in Definitions

Lecture 6 Types of TBFCs

Section 3: Trade Based Money Laundering Techniques and Typologies

Lecture 7 Stages - Placement, Layering and Integration

Lecture 8 Over and Under Invoicing/ Over and Under Shipments

Lecture 9 Multiple invoicing of goods

Lecture 10 Falsely described goods

Lecture 11 Black Market Peso Exchange

Section 4: Governing/ Contributing bodies related to TBML and Financial Crimes

Lecture 12 Financial Action Task Force (FATF)

Lecture 13 Wolfsberg Group

Lecture 14 Egmont Group

Lecture 15 Asia/Pacific Group on Money laundering

Lecture 16 Global Coalition to Fight Financial Crime (GCFFC)

Section 5: TBML Red flags/ Risk Indicators

Lecture 17 Red Flags - Jurisdictions

Lecture 18 Red flags - Goods

Lecture 19 Red flags - Corporate Structures

Lecture 20 Red Flags - Transactional activity

Lecture 21 Red flags - Documentation

Section 6: TBML Case Studies

Lecture 22 Co-mingling of legal and illegal funds - blood diamond trading

Lecture 23 Over-invoicing - Disguising criminal proceeds

Lecture 24 Under-shipping - Disguising criminal proceeds

Lecture 25 Underground banks and Fictitious Diamond Trading

Lecture 26 Use of gold trading in TBML

Lecture 27 TBML in Recent News

Section 7: Control Mechanisms to counter TBML

Lecture 28 Financial Crime Risk Assessments

Lecture 29 KYC, CDD and Sanctions Screening

Lecture 30 Example - Possible red flags in a LC transaction and the Control Mechanisms

Section 8: Use of AI/ ML in combating Money Laundering

Lecture 31 Possible uses of AI/ML in combating money laundering

Lecture 32 Methods/ Approaches used in AI modelling for AML compliance

Lecture 33 Current applications of AI/ML in AML compliance

Lecture 34 Important factors determining the success of AI in combating TBML

Section 9: Resources and Practice Test

Lecture 35 Extra: Helpful Resources and Further Studies

Trade Finance Practitioners,Business Analysts and Consultants of Trade Finance,Entrepreneurs and Small Business Owners Engaged in Global Trade






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