Course overview
Financial fraud often appears first as an accounting anomaly: unsupported revenue, unusual journal entries, unexplained supplier balances, manipulated estimates or cash movements that do not match operational activity. Finance professionals need to produce reliable financial information while recognising when errors, weak controls or deliberate concealment require investigation. This course addresses the practical connection between financial accounting, internal control, audit evidence and fraud detection.
Participants work through the accounting cycle, IFRS-based reporting issues, account reconciliations, analytical review and fraud-risk assessment. They learn to identify red flags in revenue, receivables, inventory, procurement, payroll, expenses, cash and journal entries. The course covers the fraud triangle, ACFE Fraud Tree, COSO Internal Control—Integrated Framework, ISA 240 requirements, Benford's Law, ratio analysis, data testing and documentation of findings. Participants also practise distinguishing accounting error from suspected fraud and escalating concerns without compromising evidence or due process.
Teaching combines short technical briefings with financial statement cases, document reviews, data-analysis tasks, fraud-risk workshops, investigation simulations and group discussions. Participants progressively build a fraud-aware financial review pack using sample ledgers, reconciliations, invoices, payroll reports and management accounts. They leave with reusable review templates, a fraud-risk register, journal-entry testing plan, investigation documentation checklist and a completed financial fraud detection case file. A certificate of completion is issued to participants who complete the instructor-led programme.
The course suits finance, accounting, audit, compliance, risk and control professionals who prepare, review or rely on financial information. It is particularly relevant to banks, public bodies, NGOs, multinational groups and organisations with decentralised finance operations.

