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Overview

This programme provides banking professionals with a deep understanding of how Artificial Intelligence (AI) is reshaping Operational Risk Management (ORM).
Participants will explore AI-driven risk assessment, compliance automation, fraud detection, and governance frameworks while understanding regulatory considerations and ethical risks.
Programme Outline
Learning Objectives
By the end of the programme, participants will be able to:

  • Understand how AI is transforming operational risk management
  • Apply AI-powered predictive risk analytics & fraud detection
  • Leverage AI for real-time compliance monitoring & governance
  • Integrate AI into stress testing & scenario analysis

Programme Outline
  • Introduction to AI in Operational Risk Management
    • Understanding Operational Risk in the Digital Era
    • AI applications in banking
    • Key Trends: AI, Machine Learning, and Automation in ORM
    • AI’s Role in Identifying, Measuring & Mitigating Risks
  • AI-Powered Risk Identification & Assessment
    • AI for Predictive Risk Analytics – Identifying Emerging Risks
    • Machine Learning for Anomaly Detection & Pattern Recognition
    • AI Models for KRI (Key Risk Indicators) Monitoring
    • Case Study: AI in Early Warning Systems for Banking Fraud
  • AI-Driven Fraud Detection & Anti-Financial Crime
    • AI-powered Real-Time Fraud Monitoring Systems
    • NLP & Machine Learning in Transaction Screening & AML
    • AI in Market Surveillance – Preventing Insider Trading & Rogue Trading
    • Case Study: AI in Trade Surveillance & Conduct Risk Monitoring
  • AI for Regulatory Compliance & Risk Governance
    • AI-Enabled RegTech Solutions for Compliance Automation
    • AI for Regulatory Reporting & Risk Data Aggregation
    • Ethical AI & Compliance with local guidelines and global standards
    • Case Study: AI in Regulatory Sandbox & AI Governance Framework
  • Cyber Risk & AI in Operational Risk Control
    • AI-driven Cybersecurity Risk Management
    • AI for Phishing, Insider Threat Detection & Cyber Fraud Prevention
    • AI & Blockchain for Secure Risk Data Governance
    • Case Study: AI for Cyber Risk in Digital Banking & Payments
  • AI-Powered Stress Testing & Scenario Analysis
    • AI in Operational Risk Stress Testing & Simulations
    • Predictive AI Models for Crisis Management & Black Swan Events
    • AI-Driven Liquidity & Market Risk Stress Testing
  • The Future of AI in Operational Risk Management
    • Emerging Trends: AI, Quantum Computing & Autonomous Risk Management
    • AI in Next-Gen Operational Risk Frameworks
    • Building an AI-Resilient Operational Risk Culture
METHODOLOGY
Lecture, case studies, exercises and discussions
Participant profile
Risk managers, compliance officers, IT professionals, AI developers, business leaders, and operational staff
Trainer
Cheah Wee Leong
Director of Next Gen Banking Training, 
Asian Banking School
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Cheah Wee Leong
Director of Next Gen Banking Training, Asian Banking School
Cheah Wee Leong has more than 25 years’ experience working in the banking industry with local and foreign banks in various roles and capacities. A seasoned professional, Wee Leong brings with him broad experience as a former banker and management consultant.

Wee Leong started his career at Citibank in 1993 before joining US management consultancy firm Accenture in 1997. At Accenture, he was involved in managing large bank merger-integration, process re-engineering and transformation projects. He has worked in projects in various countries including Hong Kong, China, Singapore, Indonesia, Thailand, Mauritius and Saudi Arabia.

In 2003, Wee Leong joined CIMB as its Head of Operational Risk Management and led the implementation of the bank’s operational risk management and Basel 2 – Operational Risk framework. Subsequently, he assumed various senior roles in Trade Finance, Regional Transaction Banking, Corporate Banking, Treasury and Markets division and Group CEO office at CIMB. He was instrumental in helping CIMB win numerous awards in Transaction Banking in Malaysia, Indonesia and Thailand as Head of Regional Marketing, Regional Transaction Banking from 2011-2014. His last role at CIMB was as Director, Group Strategy.

Wee Leong holds a Bachelor of Business Administration from the USA and a Master of Business Administration (with Distinction) from the Anglia Ruskin University, UK. He obtained training from Citibank Asia Pacific Banking Institute in Singapore in 1995. He is a certified Chartered Banker, Certified Expert in ESG and Impact Investing (awarded by Frankfurt School of Finance and Management), Finance Accreditation Agency (FAA) Certified Training Professional and a holder of the “Certificate in Climate Risk” and “Certificate in Digital & AI Evolution in Banking” (awarded by Chartered Body Alliance, UK) and PRINCE2 Foundation and Practitioner Certificate in Project Management. Wee Leong completed the “Leading the Sustainability in Transformation in Banking” programme with the Frankfurt School of Finance and Management (Germany) in October, 2022 and the “Global Shifts and Risk for Banking Leaders” at Said Business School, University of Oxford (UK) in September, 2024. Wee Leong completed the “Creating Value with AI & Data for Banking and Finance Leaders” with the Essec Business School in Paris in July, 2025.
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Asian Banking School
Operational Risk Management in the Age of AI
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