Course Description

Synopsis:

This two-part e-learning course is designed to equip finance professionals with the essential tools and knowledge for detecting and preventing fraud.

Part ONE of this course will lead you through an in-depth exploration of different types of fraud, where you will learn to identify common indicators and behavioural red flags, supported by real-world case studies. The course emphasises the use of data analytics and forensic accounting methods to uncover fraudulent activities, providing practical examples to enhance understanding and application in real scenarios.

Module 1: Understanding Fraud

• Definition and Types of Fraud
• Case Study: Real-world example of financial statement fraud

Module 2: Identifying Red Flags

• Common indicators of fraudulent activities

Module 3: Analytical Techniques in Fraud Detection

• Introduction to Forensic Accounting Methods
• Practical application of data analytics
• Case Study: Using data analytics to uncover fraud

Part TWO of this course will focus on the establishment and implementation of a robust fraud risk management programme, components of an effective framework, the role of internal controls, best practices for fraud prevention and the importance of governance and ethical considerations.

Don't forget to watch the Enhancing Fraud Resilience - Strategies for Combating Fraud Risks in a Connected World (Part TWO).

Intended For:

• Finance Professionals/ PAIB
• Public Sector Finance
• C-suite & Directors
• Business Owners

This module will be particularly relevant to business owners, finance professionals who regularly engage in risk management services and consulting firms that provide risk assurance services.

Competency Mapping: 

• CPE Category 2 = 0.5 CPE Hour
• CPE Category "Others" = 0.5 CPE Hour