Learning Objective
To equip accounting and audit professionals with AI-driven and data analytics techniques for detecting, preventing, and responding to financial fraud.
Course Outline
Module 1: Financial Fraud Fundamentals
- Types of Financial Fraud
- Fraud Risk Factors and Red Flags
- Behavioral and Transactional Indicators
- Fraud Risk Assessment in Accounting
Module 2: Data Analytics for Fraud Detection
- Descriptive Analytics for Fraud Analysis
- Diagnostic and Trend Analysis
- Identifying Anomalies in Financial Data
- Using Data to Prioritize Fraud Risks
Module 3: AI and Machine Learning in Fraud Prevention
- Pattern Recognition and Predictive Models
- Continuous Monitoring Using AI
- Limitations and Risks of AI Models
- Interpreting AI-Generated Fraud Alerts
Module 4: Investigation, Reporting, and Prevention
- Investigating Suspected Fraud Cases
- Documenting and Reporting Findings
- Communicating Results to Stakeholders
- Designing Preventive Controls and Monitoring
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