Super Early Bird Fee

Register and Pay
by 29 Mar '19

Early Bird Fee

Register and Pay
by 26 Apr '19

Regular Fee

Register and Pay
after 26 Apr '19

$1,395.00(USD) $1,495.00(USD) $1,595.00(USD)

Group Discount! Enjoy 10% off when you register for 3 or more
For groups of 3, 4th comes for free

  1. Super Early Bird and Early Bird promotion: Discount will only be valid if payment is received by the stipulated date.
  2. Group Discount only applies to registrations from the same company registering at the same time, issued in a single invoice and of the same billing source.
  3. Only corporate registrations will be accepted.
  4. Bank charges & taxes are to be borne by registrants, if applicable.
  5. Full payment is mandatory upon registration for admission to the event.
  6. Walk-in delegates will only be admitted on the basis of space availability at the event and with immediate full payment.
  7. Fee includes lunch, refreshments and event documentation.
  8. The organiser reserves the right to make any amendments that it deems to be in the interest of the event without any notice.
  9. Information provided will be used for event administration and updates on upcoming events. For more details, please visit:


A replacement is allowed if registered participants are unable to attend. For cancellations received in writing before 26 Apr 2019, a full refund will be given with a 10% administrative charge. For cancellations received in writing before 9 May 2019, a 50% refund will be given together with the event documentation. There will be no refunds for cancellations received after 9 May 2019 or “no show” participants. However participants will receive a copy of the event documentation.

Are you Overlooking Fraud Risk Warnings?

British Telecom (BT) is in the spotlight for a $339 million accounting scandal at its Italian unit*. Businesses, even in highly regulated industries, often miss the red flags. Can you recognise fraud indicators when developing your fraud risk assessment program? Are you taking proactive measures to detect fraud or just waiting for the next tip-off?

Identify the Red Flags of Potential Fraud

Join this 2-day interactive workshop to acquire the latest techniques and technological tools for effective fraud risk management. Examine the fraud risk indicators in key business processes (sales, procurement, payroll and expenses). Adopt a best practice fraud risk assessment framework including a 7 step approach. Discover how to employ data analytics and emerging technologies including AI to proactively detect anomalies.

Programme Highlights

    • Recent Fraud Cases and Latest Developments
    • Key Fraud Risk Indicators: By Business Processes
    • Fraud Prevention
    • Fraud Risk Assessment
    • Fraud Detection I – Controls Environment
    • Fraud Detection II – Data Analytics
    • Use of Technology for Effective Fraud Risk Management

Benefits of Attending

  • Examine the latest fraud trends including recent cases of external and internal fraud
  • Identify key fraud risk indicators through case studies from real-life companies
  • Discover how to design robust internal controls to prevent accounting fraud
  • Find out the critical success factors to conduct an effective risk assessment
  • Learn how to map the likelihood and significance of fraud risks for your business
  • Adopt common fraud detection controls and best practices in whistleblowing systems
  • Adapt your fraud risk management programme to changes in the business
  • Understand the limitations and common pitfalls of data analytics in fraud detection
  • Analyse how to conduct effective data analysis to derive meaningful insights
  • Hear how to employ AI and emerging technologies to detect irregularities

Workshop Leader

Colum Bancroft

Managing Director,




Colum applies three decades of financial, commercial, and forensic accounting experience in assisting clients to better protect against, respond to, and recover from challenging situations that have regulatory, reputational, or financial implications such as fraud, corruption, data breach, money laundering and sanctions, and complex commercial disputes.


Based in Asia for 25 years and a former partner at a global accounting firm, he then managed a group of China-focused companies, before playing a key role in establishing and developing Kroll’s financial investigations practice in Asia.


Colum has had considerable fraud-related experience – covering the full range of prevention, detection and response, and in operational, management and advisory roles – and has a degree with First Class Honors in economics from the University of Leeds in England and is a fellow of both the Institute of Chartered Accountants in England and Wales and the Hong Kong Institute of Certified Public Accountants.

Who Should Attend

Senior level executives responsible for Internal Audit, Finance, Risk Management, Legal, Compliance



  • Session 1: Recent Fraud Cases and Latest Developments

    • Internal and external fraud
    • Why does fraud occur?
    • Current fraud trends
    • Useful resources
    • Case sharing
  • Session 2: Key Fraud Risk Indicators: By Business Processes

    • Common fraud in key processes (Sales, procurement, payroll and expenses)
    • Key fraud risk indicators in these processes
    • Case sharing
  • Session 3: Fraud Prevention

    • Overview and the right environment
    • Designing effective policies and procedures, controls and employee training
  • Session 4: Fraud Risk Assessment

    • What is a fraud risk assessment?
    • Who should do it?
    • What makes a good fraud risk assessment?
    • How to conduct a fraud risk assessment — 7 step approach
    • Mapping of risks
    • Group exercise: Interview
    • Group exercise: Fraud risk assessment
  • Session 5: Fraud Detection I — Controls Environment

    • Overview of common fraud detection controls
    • Detecting fraud involving third parties
    • Responding to changes in the business
    • Whistleblowing system
  • Session 6: Fraud Detection II — Data Analytics

    • The cost of fraud ─ recap
    • Use of data analytics
    • Limitations and common pitfalls of data analytics
    • What data can be used?
    • Illustrative examples
    • Case study
    • Group exercise
  • Session 7: Use of Technology for Effective Fraud Risk Management

    • Real life examples:
      • Bank loan round trip transactions
      • Sales distribution — Channel stuffing
      • AI tool for document review
  • Session 8: Final Group Exercise