Anti-Money Laundering (AML) in Digital Credit Training Course

Introduction

This intensive 5-day training course provides a comprehensive and practical exploration of Anti-Money Laundering (AML) specifically within the dynamic landscape of digital credit. While digital lending offers immense opportunities for financial inclusion and efficiency, it also introduces unique challenges and increased vulnerabilities to illicit financial activities. This program will equip participants with the essential knowledge, practical skills, and cutting-edge strategies to identify, prevent, and report money laundering and terrorist financing in digital credit operations, ensuring robust compliance, protecting institutional integrity, and safeguarding the broader financial ecosystem.

The course goes beyond traditional AML approaches, focusing on the specific typologies, technological advancements, and regulatory expectations relevant to digital lending. Through interactive case studies, hands-on exercises with transaction monitoring scenarios, and discussions of AI-powered solutions, attendees will learn to implement effective Know Your Customer (KYC) and Customer Due Diligence (CDD) in a digital environment, detect suspicious activities in real-time, leverage big data analytics, and navigate the evolving global regulatory frameworks. Whether you are a compliance officer, risk manager, fraud analyst, operations specialist, fintech executive, or a technology strategist, this program offers an unparalleled opportunity to master the critical aspects of AML in digital credit and build a resilient defense against financial crime.

Duration: 5 days

Target Audience:

  • AML Compliance Officers and Managers
  • Financial Crime Prevention Specialists
  • Digital Lending Product Managers
  • Risk Managers in Fintech and Banking
  • KYC/CDD Analysts
  • Fraud Prevention Specialists
  • Legal and Regulatory Professionals in Digital Finance
  • IT and Security Architects overseeing AML systems

Objectives:

  • To provide a comprehensive understanding of money laundering and terrorist financing risks in digital credit.
  • To equip participants with the knowledge to design and implement robust AML programs tailored for digital lenders.
  • To understand advanced KYC/CDD techniques, beneficial ownership identification, and ongoing monitoring in a digital context.
  • To develop proficiency in leveraging technology (AI, ML, Big Data) for enhanced transaction monitoring and suspicious activity detection.
  • To explore global AML regulatory frameworks, sanctions compliance, and the future trends in combating financial crime in digital credit.

Course Modules:

Introduction

  • Defining Anti-Money Laundering (AML) and Counter-Terrorist Financing (CTF).
  • The stages of money laundering: placement, layering, integration.
  • Unique vulnerabilities and risks of digital credit platforms to financial crime.
  • Global impact of money laundering and the importance of effective AML programs.
  • Course objectives and an outline of the modules.

Global AML Regulatory Frameworks

  • Overview of international AML standards: FATF (Financial Action Task Force) Recommendations.
  • Key regional regulations: EU AML Directives, US Bank Secrecy Act (BSA) & Patriot Act.
  • Local AML laws and regulations relevant to digital lending
  • Consequences of non-compliance: fines, reputational damage, legal action.
  • The role of Financial Intelligence Units (FIUs) and international cooperation.

Risk-Based Approach to AML in Digital Credit

  • Understanding and conducting money laundering and terrorist financing risk assessments for digital lending.
  • Identifying high-risk customers, products/services, geographies, and delivery channels.
  • Developing a risk-based AML program for digital lenders.
  • Tailoring customer due diligence (CDD) and enhanced due diligence (EDD) based on risk profiles.
  • Ongoing risk assessment and review processes.

Customer Due Diligence (CDD) and Know Your Customer (KYC) in Digital Lending

  • Digital identity verification methods: eKYC, biometric verification, document authentication.
  • Customer Identification Programs (CIP) for remote onboarding.
  • Verification of beneficial ownership for corporate borrowers.
  • Identifying Politically Exposed Persons (PEPs) and sanctioned entities.
  • Simplified Due Diligence (SDD) vs. Enhanced Due Diligence (EDD) in a digital context.

Transaction Monitoring and Suspicious Activity Reporting (SAR)

  • Identifying red flags and suspicious transaction typologies in digital credit (e.g., rapid repayment/re-borrowing, unusual patterns).
  • Designing and implementing automated transaction monitoring systems.
  • Leveraging AI and Machine Learning for anomaly detection and pattern recognition in high-volume digital transactions.
  • The process of investigating alerts and determining suspicious activity.
  • Proper procedures for filing Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs).

AML Technologies and RegTech for Digital Credit

  • AI and Machine Learning: Predictive analytics for risk scoring, anomaly detection, natural language processing (NLP) for unstructured data.
  • Big Data Analytics: Processing vast volumes of transactional and behavioral data.
  • Robotic Process Automation (RPA): Automating routine AML tasks (e.g., data aggregation, report generation).
  • Digital Identity Verification Solutions: Biometrics, liveness detection, digital document analysis.
  • Blockchain and DLT: Opportunities and challenges for AML in cryptocurrency and decentralized finance (DeFi).

Sanctions Compliance and Watchlist Screening

  • Understanding international sanctions regimes (e.g., OFAC, UN, EU).
  • Real-time screening of customers and transactions against sanctions lists.
  • Managing politically exposed person (PEP) lists and adverse media screening.
  • Best practices for sanctions compliance in digital lending.
  • Responding to potential sanctions violations.

Building an Effective AML Program and Future Trends

  • Key components of an effective AML program: governance, policies, procedures, training, independent audit.
  • The role of the AML Compliance Officer in digital lending.
  • Fostering an AML-aware culture within the organization.
  • Emerging threats: cyber-enabled financial crime, cross-border complexities.
  • The future of AML in digital credit: continuous monitoring, shared intelligence, global data standards.

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

 

Anti-money Laundering (aml) In Digital Credit Training Course in Andorra
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