Fraud Prevention, Detection and Investigation

In today’s complex business environment, where data is a critical asset, understanding and addressing fraud risks is essential for maintaining trust, compliance, and financial stability.
  • Course Schedule

Classroom Sessions:

DateVenuePrice
11 - 15 March 2025
London - UK
$ 5,950
  • Course Description

INTRODUCTION

Fraud Prevention, Detection, and Investigation is a comprehensive training program designed to equip participants with the knowledge and skills needed to safeguard organizations against fraudulent activities. In today’s complex business environment, where data is a critical asset, understanding and addressing fraud risks is essential for maintaining trust, compliance, and financial stability.

WHY IT MATTERS

Data is the lifeblood of any organization, and it plays a pivotal role in fraud prevention and detection. Understanding the importance of data is crucial for identifying anomalies, patterns, and trends that may indicate fraudulent activities. This course emphasizes the significance of leveraging data analytics, forensic techniques, and technology to uncover and prevent fraud effectively.

OBJECTIVES

  1. Provide a deep understanding of fraud types, schemes, and methodologies.
  2. Equip participants with practical skills in fraud risk assessment and management.
  3. Introduce advanced data analytics tools and techniques for fraud detection.
  4. Explore forensic investigation methods to uncover and prosecute fraudulent activities.
  5. Foster a proactive approach to fraud prevention through real-world case studies and scenarios.

WHO SHOULD ATTEND ?

This course is ideal for professionals in various roles, including but not limited to:

  • Risk Managers
  • Internal Auditors
  • Compliance Officers
  • Forensic Accountants
  • Data Analysts
  • Fraud Investigators
  • Security Professionals
  • Finance Managers
  • Course Outline

DAY 1

Understanding Fraud

  • Introduction to fraud: definition, types, and characteristics
  • Behavioral red flags and indicators
  • Legal and regulatory framework for fraud prevention

DAY 2

Fraud Risk Assessment

  • Identifying and assessing fraud risks
  • Developing a robust fraud risk management framework
  • Case studies on industry-specific fraud risks

DAY 3

Data Analytics for Fraud Detection

  • Introduction to data analytics in fraud prevention
  • Tools and techniques for analyzing and interpreting data
  • Real-world applications and case studies

DAY 4

Forensic Investigation Techniques

  • Overview of forensic accounting and investigation
  • Conducting interviews and gathering evidence
  • Case studies on successful fraud investigations

DAY 5

Fraud Prevention Strategies

  • Building a proactive fraud prevention culture
  • Implementing effective internal controls
  • Emerging trends in fraud prevention and detection
  • Options & Brochure
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