Introduction

In today’s rapidly evolving digital banking ecosystem, fraud risk has become one of the most critical threats facing financial institutions. The rise of cyber fraud, digital payment fraud, identity theft, insider fraud, and financial crime has made it essential for banks to adopt robust fraud risk management frameworks. Fraud Risk Management in Banking Training Course is designed to equip banking professionals with advanced fraud detection techniques, AI-driven analytics, real-time monitoring systems, and regulatory compliance strategies to effectively mitigate fraud risks. Participants will gain insights into emerging fraud trends, fintech vulnerabilities, and global best practices in fraud prevention and control.

As financial institutions accelerate digital transformation, open banking, and mobile banking adoption, fraudsters are leveraging sophisticated technologies such as machine learning, phishing attacks, social engineering, and deepfake fraud. This course provides a comprehensive understanding of enterprise fraud risk management, governance structures, fraud analytics, and forensic investigation techniques. Through practical case studies, scenario-based learning, and hands-on exercises, participants will develop the skills to detect, prevent, investigate, and respond to fraud incidents, ensuring operational resilience, customer trust, and regulatory compliance

Programme Curriculum

Fraud Risk Management in Banking Training Course

Introduction
In today’s rapidly evolving digital banking ecosystem, fraud risk has become one of the most critical threats facing financial institutions. The rise of cyber fraud, digital payment fraud, identity theft, insider fraud, and financial crime has made it essential for banks to adopt robust fraud risk management frameworks. Fraud Risk Management in Banking Training Course is designed to equip banking professionals with advanced fraud detection techniques, AI-driven analytics, real-time monitoring systems, and regulatory compliance strategies to effectively mitigate fraud risks. Participants will gain insights into emerging fraud trends, fintech vulnerabilities, and global best practices in fraud prevention and control.

Course Duration

5 days

Training Objectives
By the end of this course, participants will be able to:

Understand fraud risk management frameworks and governance models in banking
Identify emerging fraud trends and digital fraud typologies
Apply AI and machine learning in fraud detection and prevention
Strengthen AML (Anti-Money Laundering) and KYC compliance strategies
Implement real-time fraud monitoring and transaction surveillance systems
Conduct fraud risk assessments and vulnerability analysis
Enhance internal controls and fraud prevention mechanisms
Investigate fraud using forensic accounting and digital forensics tools
Mitigate cybersecurity risks and payment fraud threats
Develop fraud response and incident management strategies
Ensure compliance with global regulatory frameworks
Leverage data analytics and predictive modeling for fraud detection
Build a fraud-aware organizational culture and ethical environment

Target Audience

Fraud Risk Managers and Analysts
Compliance and AML Officers
Internal Auditors and Risk Professionals
Banking Operations Managers
Cybersecurity and IT Security Specialists
Financial Crime Investigators
Digital Banking and Fintech Professionals
Senior Executives and Decision Makers

Course Modules

Module 1: Introduction to Fraud Risk Management

Overview of fraud risk frameworks and policies
Types of fraud in banking
Fraud risk lifecycle and control environment
Regulatory expectations and compliance requirements
Case Study: Major global banking fraud incident analysis

Module 2: Emerging Fraud Trends and Typologies

Digital fraud trends in mobile and online banking
Social engineering, phishing, and identity fraud
Payment fraud and card-related fraud schemes
Insider fraud and collusion risks
Case Study: Phishing attack on a commercial bank

Module 3: Fraud Risk Assessment and Controls

Fraud risk identification and assessment techniques
Designing preventive and detective controls
Risk scoring and fraud indicators
Control testing and effectiveness evaluation
Case Study: Fraud risk assessment in retail banking

Module 4: Fraud Detection using AI and Analytics

Introduction to AI, machine learning, and big data analytics
Transaction monitoring systems and tools
Predictive analytics and anomaly detection
Real-time fraud detection techniques
Case Study: AI-based fraud detection implementation

Module 5: Cybersecurity and Digital Fraud Prevention

Cyber threats impacting banking systems
Secure digital banking infrastructure
Fraud prevention in digital payments and fintech platforms
Multi-factor authentication and encryption
Case Study: Cyber fraud attack and mitigation strategies

Module 6: Fraud Investigation and Forensic Techniques

Principles of forensic accounting and fraud investigation
Evidence collection and documentation
Interviewing techniques and reporting
Legal considerations in fraud cases
Case Study: Internal fraud investigation process

Module 7: Regulatory Compliance and Financial Crime Prevention

Overview of AML, KYC, CFT regulations
Role of FATF and global compliance standards
Suspicious transaction reporting (STR)
Compliance monitoring and reporting frameworks
Case Study: AML compliance failure in a bank

Module 8: Fraud Risk Governance and Culture

Fraud risk governance structures
Role of board and senior management
Building a fraud-aware culture
Ethics, integrity, and whistleblowing mechanisms
Case Study: Governance failure leading to fraud scandal

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Fraud detection Risk assessment Transaction monitoring Fraud prevention

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000