Mastering Financial Compliance and Anti-Money Laundering

Course details

In this comprehensive course, dive into key principles of financial compliance and anti-money laundering. Learn to identify crucial risk factors and develop strategies to address and mitigate them effectively. Explore the use of AI as a copilot in regulatory intelligence and updates, enhancing your ability to streamline compliance processes. Build your understanding of transaction monitoring and learn to recognize behavioral anomalies and red flags. Discover the power of a well-structured governance system in ensuring policy effectiveness and readiness for audits. Designed for supply chain security professionals, but valuable to anyone in financial control roles, this course uses practical activities, actionable strategies, and real-world scenarios to enhance your ability to safeguard your organization against financial crimes.

Learning objectives
Construct comprehensive compliance frameworks for financial institutions.
Integrate anti-money laundering strategies into organizational processes.
Evaluate financial risks and implement effective mitigation strategies.
Design fraud detection systems to protect against financial crimes.

Concepts

Welcome to the Course

Intro video to course
Module introduction
Comparing global standards - FATF recommendations vs. local laws
Analyzing the extraterritorial reach of US and EU regulations
Mapping regulatory obligations to business contexts with AI

Mastering the Risk-Based Approach (RBA)

The philosophy of the risk-based approach (RBA)
Building the risk scoring matrix
Scoring and weighting risks

AI as Your Regulatory Copilot

Leveraging AI for regulatory intelligence and updates
Summarizing complex directives and regulations with AI
Engineering prompts for accurate legal interpretation

Tone at the Top and the Business Case

Module introduction
Articulating the ROI of compliance to secure board buy-in
Defining governance structures and MLRO independence
Assessing organizational compliance culture and maturity

The Compliance Gap Analysis

Fundamentals of audit methodology - Design vs. operating effectiveness
Setting up a compliance gap analysis tracker
Identifying control gaps in a compliance scenario

Policy Engineering with AI

High-level policies and standard operating procedures (SOPs)
AI-assisted policy drafting
Validating and refining AI-generated compliance documentation

KYC 2.0 and Digital Onboarding

Module introduction
Core pillars of customer identification programs (CIP)
Designing a compliant customer onboarding workflow
Digital identity verification

Unmasking the Ultimate Beneficial Owner (UBO)

Understanding corporate structures - Shell companies and ownership layers
UBO investigation techniques - Tracing ownership via public registries
Calculating beneficial ownership - Visualizing control and percentages

Smart Screening and False Positives

Understanding screening algorithms - Exact vs. fuzzy matching
Configuring matching thresholds to balance risk and efficiency
Adjudicating sanctions alerts and false positives with AI

Transaction Monitoring and Red Flags

Module introduction
Key money laundering typologies - Smurfing and trade-based schemes
Differentiating between behavioral analysis and threshold monitoring
Identifying data anomalies and transaction spikes

The Art of the SAR STR (Suspicious Activity Transaction Report)

Drafting effective SAR narratives - The 5 Ws framework
Accelerating SAR drafting with generative AI
Creating defensible documentation for regulatory exams

Continuous Improvement and Audit Prep

The feedback loop - Updating risks based on investigations
Preparing evidence and strategies for regulatory examinations
Managing remediation and drafting management action plans (MAPs)
Course wrap-up