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CODE: PNG07
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course provides an extensive framework with the knowledge and tools to leverage on predictive analytics and advanced modeling to anticipate, detect, and prevent fraud. The curriculum explores the use of AI, machine learning, and big data to identify anomalies, assess fraud risks, and strengthen prevention strategies across industries. Delegates will gain insights into aligning fraud risk management with international frameworks such as ACFE (Association of Certified Fraud Examiners) principles, ISO 37001 Anti-Bribery Management Systems, and global anti-money laundering (AML) regulations, ensuring prevention strategies are ethical, robust, and globally compliant.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand predictive modeling techniques for fraud risk detection.
Develop predictive models to identify fraud-prone behaviours and high-risk transactions.
Apply AI and big data analytics to anticipate fraudulent activities.
Strengthen fraud prevention strategies with global compliance frameworks.
Align fraud risk management with ISO 37001, ACFE, and AML principles.
Build resilient systems for proactive fraud prevention.
At the end of this course, you’ll understand:
This course is designed for risk managers, compliance officers, fraud analysts, forensic auditors, forensic accountants, business intelligence and analyst professionals, financial controllers, and governance professionals. It is also suitable for consultants, investigators, regulators, and transformation leaders tasked with building predictive fraud prevention frameworks.
