About Course

Fraud continues to be one of the most significant threats facing banks, financial institutions, fintech companies, and organizations worldwide. From identity theft and account takeover fraud to payment fraud, insider fraud, and emerging digital fraud schemes, organizations must continuously strengthen their fraud risk management capabilities to protect customers, assets, and reputation.

This comprehensive Fraud Risk Management Masterclass provides a practical, end-to-end understanding of how organizations identify, assess, prevent, detect, investigate, and respond to fraud risks. Whether you are a compliance professional, fraud analyst, AML specialist, risk manager, auditor, banker, fintech professional, or aspiring fraud practitioner, this course will equip you with the knowledge and tools needed to manage fraud risks effectively.

Throughout the course, you will learn the foundations of fraud risk management, fraud governance frameworks, fraud risk assessments, fraud prevention strategies, fraud controls, fraud detection techniques, fraud investigations, and fraud response practices. You will also explore common fraud typologies, fraud red flags, and emerging fraud risks affecting modern financial institutions and businesses.

The course combines industry best practices, practical examples, real-world case studies, and actionable insights to help you understand how effective fraud risk management programs are designed and implemented. By the end of the course, you will be able to identify fraud vulnerabilities, evaluate fraud controls, conduct fraud risk assessments, recognize suspicious activities, and contribute to stronger fraud prevention and detection programs within your organization.

Whether you are looking to advance your career, strengthen your organization’s fraud management capabilities, or build a solid foundation in fraud risk management, this masterclass will provide the practical knowledge and confidence needed to succeed in today’s rapidly evolving fraud and financial crime landscape.

Understand the fundamentals of fraud, fraud risk, and the fraud lifecycle.
Identify major types of fraud affecting banks, fintechs, businesses, and customers.
Recognize common fraud schemes, behavioral indicators, and red flags.
Understand how fraudsters exploit products, payment channels, technology, and human vulnerabilities.
Conduct fraud risk assessments and identify control weaknesses.
Apply fraud prevention, detection, monitoring, and response techniques.
Understand the role of data analytics, rules, alerts, and fraud detection systems.

Course Content

Module 1: The Fraud & Financial Crime Landscape
Develop a foundational understanding of fraud typologies, regulatory obligations, fraud liability concepts, and the convergence of fraud risk management and AML.

Fraud Categories, Scale & the AML Convergence

05:26
Authorized vs Unauthorized Fraud: The Regulatory & Liability Distinction

00:00
The Evolving Scam Ecosystem: Organized Crime, Social Engineering & Technology

00:00
Regulatory Framework for Fraud: Who Regulates What & Where AML Fits

00:00

Module 2: Identity Fraud, Synthetic Identities & Account Opening Controls
Understand how fraudsters exploit identity verification and account opening processes and how organizations can strengthen preventive controls.

Module 3: Payment Fraud & Scam Typologies
Recognize emerging scam typologies, understand fraudster methodologies, and evaluate prevention and detection strategies across payment channels.

Module 4: Fraud Detection Controls & Investigation Workflows
Design and execute fraud detection, investigation, escalation, and disruption processes to identify and mitigate fraud risks effectively.

Module 5: Fraud Analytics, Model Performance & Rule Design
Understand how fraud detection models are developed, measured, optimized, and deployed within fraud risk management programs.

Module 6: From Fraud to Financial Crime — SAR Filing, Handoff & Compliance
Understand the intersection of fraud and AML, evaluate reporting obligations, and contribute to effective financial crime investigations.

You will earn a certificate after completing this course.

Student Ratings & Reviews

No Review Yet

Buy Bundle

Join Live Class

Buy Individually

About Course

What Will You Learn?

Course Content

Module 1: The Fraud & Financial Crime Landscape Develop a foundational understanding of fraud typologies, regulatory obligations, fraud liability concepts, and the convergence of fraud risk management and AML.

Authorized vs Unauthorized Fraud: The Regulatory & Liability Distinction

The Evolving Scam Ecosystem: Organized Crime, Social Engineering & Technology

Regulatory Framework for Fraud: Who Regulates What & Where AML Fits

Module 2: Identity Fraud, Synthetic Identities & Account Opening Controls Understand how fraudsters exploit identity verification and account opening processes and how organizations can strengthen preventive controls.

Identity Fraud: First-Party, Third-Party & Synthetic Identity Fraud

Synthetic Identity Fraud: Detection, Patterns & Credit File Building

Account Opening Fraud & Mule Account Recruitment

KYB Abuse: Fraudulent Business Account Opening

Onboarding Controls: Layering Defenses from Application to Account Activation

Module 3: Payment Fraud & Scam Typologies Recognize emerging scam typologies, understand fraudster methodologies, and evaluate prevention and detection strategies across payment channels.

APP Fraud: Authorised Push Payment Scams — How They Work

Business Email Compromise (BEC): The $50 Billion Fraud

Pig Butchering (Sha Zhu Pan): Investment Fraud & the Crypto Money Laundering Cha

Card Fraud: CNP, Counterfeit & Account Takeover

Refund & Returns Fraud, Chargeback Abuse & Policy Exploitation

Crypto-Enabled Fraud: Rug Pulls, NFT Fraud & VASP Exploitation

Module 4: Fraud Detection Controls & Investigation Workflows Design and execute fraud detection, investigation, escalation, and disruption processes to identify and mitigate fraud risks effectively.

The Fraud Detection Stack: Rules, ML Models & Network Analytics

Fraud Alert Review: Structuring an Efficient Investigation

Mule Account Detection & Disruption

Customer Outreach: How & When to Contact the Customer About Suspicious Activity

Cross-Team Fraud-AML Collaboration: Data Sharing, Referral Protocols & Unified C

Module 5: Fraud Analytics, Model Performance & Rule Design Understand how fraud detection models are developed, measured, optimized, and deployed within fraud risk management programs.

Fraud Metrics That Matter: Precision, Recall, F1 & the Business Trade-off

Building Effective Fraud Rules: From Typology to Rule Specification

Velocity Controls, Heuristics & Real-Time Decision Engines

Machine Learning in Fraud Detection: Supervised & Unsupervised Approaches

Module 6: From Fraud to Financial Crime — SAR Filing, Handoff & Compliance Understand the intersection of fraud and AML, evaluate reporting obligations, and contribute to effective financial crime investigations.

When Fraud Becomes a Financial Crime: The Proceeds of Crime Trigger

Filing a SAR for Fraud-Related Activity: What to Include & Common Errors

Law Enforcement Referral, Asset Recovery & the Victim Support Obligation

Building a Fraud-AML Unified Financial Crime Framework

Earn a certificate

Student Ratings & Reviews

Recommended Courses For You

Sanctions Compliance Masterclass

KYC, CDD, and EDD Masterclass