Fraud Monitoring Table of Contents

Table of Content

Fraud Basics

  • What is Fraud?
  • What Constitutes Fraud?
  • Why Do People Commit Fraud and What is Fraud Triangle?
  • Categories of Fraud
  • Types of Fraud
  • Occupational Fraud
  • Profile of the Typical Fraudster

Why Commit Fraud?

  • The Fraud Triangle
  • The Element of Pressure
  • The Element of Opportunity
  • The Element of Rationalization
  • Characteristics of Fraud Perpetrators
  • Fraudsters’ Common Behavioral Red Flags

Fraud Schemes

  • First Party Fraud
  • Second-Party Fraud
  • Third-Party Fraud
  • Detecting Single, Second or Third Party Fraud
  • Common Fraud Schemes

Red Flags

  • What is a Red Flag?
  • Significance of Red Flags
  • Common Red Flags
  • Identifying Opportunities for Fraud
  • Telltale Signs of Fraudsters

Regulatory Framework, Standards and Compliance

  • Overview of Relevant Laws and Regulations
  • Compliance Requirements for Fraud Monitoring
  • Consequences of Non-Compliance
  • Compliance Basics
  • Standards Basics
  • Forensic Accounting and Investigation Standards (FAIS)

Fraud Risk Management

  • Risk Basics
  • Risk Management and Financial Ratios
  • Sources of Risk
  • Risk Identification
  • Analyze the Risk
  • Risk Assessment
  • Risk Measurement
  • Risk Handling Methods

Fraud Detection Techniques

  • Recognizing the Symptoms of Fraud
  • Anomaly Detection
  • Red Flags and Warning Signs
  • Tips and Complaints
  • Data Analysis and Fraud Detection
  • Data Analysis Techniques for Fraud Detection
  • Industry-Specific Fraud Detection
  • Applying Benford's Law
  • Using Z‐SCORE
  • Using Correlation

Fraud Monitoring

  • Fraud Monitoring
  • Fraud Monitoring Tools Working
  • Risk-Based Monitoring

MS-Excel for Fraud Monitoring

  • MS-Excel Basics
  • MS-Excel Window Elements
  • Sort and Filter
  • Charts
  • Excel Formulas
  • Excel Functions
  • Logical Functions
  • Date and Time Functions
  • Lookup and Reference functions

Tableau for Fraud Monitoring

  • Tableau Basics
  • Tableau Working
  • Tableau Data Terminology
  • Tableau Design Flow
  • Data Types in Tableau
  • Data Cleaning in Tableau
  • Tableau Data Operations
  • Tableau Calculation
  • Tableau Functions
  • Tableau Filters
  • Tableau Case Study: Detecting Anomalies in Credit Card Transactions

Fraud Investigation

  • The Fraud Investigation Process
  • Successfully Investigating Fraud

Internal Controls

  • Internal Control Basics
  • Internal Control Types
  • Common Internal Control Procedures
  • COSO Framework
  • Internal Controls Policy and Procedures

Ethical Considerations in Fraud Monitoring

  • Professional Ethics in Fraud Detection
  • Balancing Privacy and Security
  • Ethical Dilemmas in Fraud Monitoring

Continuous Improvement in Fraud Monitoring

  • Key Performance Indicators (KPIs) for Fraud Monitoring
  • Feedback Loops and Improvement Strategies
  • Adapting to Emerging Threats

New Age Technologies

  • Artificial Intelligence (AI) and Fraud Prevention
  • Machine Learning (ML) and Fraud Prevention
  • Blockchain and Fraud Prevention
  • Blockchain Forensics and Cryptocurrency Forensics

Emerging Trends in Fraud Monitoring

  • Cybersecurity Threats
  • Social Engineering Techniques
  • Technological Advancements and Risks

Case Studies and Real-World Fraud Cases

  • Real-world Fraud Cases
  • Banking Industry Fraud Monitoring Case Study
  • Insurance Industry Fraud Monitoring Case Study
  • Healthcare Industry Fraud Monitoring Case Study
  • Retail Industry Fraud Monitoring Case Study

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