9 Topics
5 Days
Programme Overview
Training Description
Who Should Attend
This course is designed for professionals responsible for preventing and detecting fraud within their organizations, including:
- Internal Auditors
- Fraud Examiners
- Compliance Officers
- Risk Managers
- Accountants
- Management at all levels
- Anyone involved in safeguarding organizational assets
Session Objectives
- Understand the different types of fraud and their impact on organizations.
- Conduct a comprehensive fraud risk assessment.
- Identify fraud risk factors and red flags.
- Implement effective fraud prevention and detection controls.
- Develop a fraud response plan.
- Understand the legal and ethical considerations related to fraud.
- Investigate suspected fraud incidents.
- Use data analytics to detect fraud.
- Communicate fraud-related information effectively.
- Contribute to a stronger fraud risk management culture.
- Enhance their understanding of fraud prevention and detection best practices.
- Stay up-to-date with the latest fraud trends and techniques.
- Become a more valuable and sought-after fraud risk management professional.
- Understand the psychology of fraud perpetrators.
- Learn how to build a robust anti-fraud program.
About the Course
Fraud poses a significant threat to organizations of all sizes. This comprehensive training course on Fraud Risk Assessment and Detection equips participants with the essential knowledge and skills to proactively identify and mitigate these risks. Participants will learn how to conduct fraud risk assessments, recognize red flags, implement effective controls, and investigate suspected fraud. This course bridges the gap between fraud theory and practical application, empowering participants to become valuable assets in protecting their organizations from financial and reputational harm.
Curriculum & Topics
9 Topics | 5 Days
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Subtopic 1.1:
Defining fraud and its various forms (asset misappropriation, financial statement fraud, corruption).
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Subtopic 1.2:
The impact of fraud on organizations (financial, reputational, operational).
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Subtopic 1.3:
Understanding the fraud triangle (opportunity, rationalization, pressure).
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Subtopic 1.4:
The psychology of fraud perpetrators.
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Subtopic 1.5:
Ethical considerations in fraud prevention and detection.
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Subtopic 2.1:
Frameworks for conducting fraud risk assessments (e.g., COSO).
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Subtopic 2.2:
Identifying inherent fraud risks.
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Subtopic 2.3:
Assessing the likelihood and impact of fraud.
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Subtopic 2.4:
Developing a fraud risk register.
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Subtopic 2.5:
Prioritizing fraud risks for mitigation.
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Subtopic 3.1:
Common fraud schemes and their characteristics.
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Subtopic 3.2:
Red flags that may indicate fraud.
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Subtopic 3.3:
Analyzing internal and external factors that contribute to fraud risk.
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Subtopic 3.4:
Using data analytics to identify potential red flags.
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Subtopic 3.5:
Conducting fraud risk workshops and interviews.
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Subtopic 4.1:
Preventive controls (e.g., segregation of duties, authorization procedures, background checks).
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Subtopic 4.2:
Detective controls (e.g., reconciliations, data analytics, whistleblowing hotlines).
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Subtopic 4.3:
Developing a control framework for fraud risk mitigation.
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Subtopic 4.4:
Implementing and monitoring fraud controls.
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Subtopic 4.5:
Evaluating the effectiveness of fraud controls.
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Subtopic 5.1:
Creating a fraud response team.
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Subtopic 5.2:
Establishing procedures for investigating suspected fraud.
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Subtopic 5.3:
Preserving evidence and chain of custody.
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Subtopic 5.4:
Reporting fraud incidents to appropriate parties (e.g., law enforcement, regulators).
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Subtopic 5.5:
Legal and ethical considerations in fraud investigations.
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Subtopic 6.1:
Interviewing techniques for fraud investigations.
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Subtopic 6.2:
Document review and analysis.
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Subtopic 6.3:
Forensic accounting techniques.
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Subtopic 6.4:
Using data analytics for fraud investigation.
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Subtopic 6.5:
Gathering and preserving electronic evidence.
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Subtopic 7.1:
Identifying relevant data for fraud detection.
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Subtopic 7.2:
Using data analytics tools and techniques (e.g., anomaly detection, pattern recognition).
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Subtopic 7.3:
Developing fraud detection algorithms and models.
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Subtopic 7.4:
Visualizing fraud-related data.
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Subtopic 7.5:
Integrating data analytics into fraud detection processes.
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Subtopic 8.1:
Legal responsibilities related to fraud prevention and detection.
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Subtopic 8.2:
Ethical dilemmas in fraud investigations.
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Subtopic 8.3:
Confidentiality and data privacy.
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Subtopic 8.4:
Whistleblower protection.
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Subtopic 8.5:
Reporting obligations.
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Subtopic 9.1:
Creating a culture of ethics and integrity.
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Subtopic 9.2:
Developing a comprehensive anti-fraud policy.
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Subtopic 9.3:
Communicating fraud prevention messages.
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Subtopic 9.4:
Training employees on fraud awareness.
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Subtopic 9.5:
Regularly reviewing and updating the anti-fraud program.
