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NITA AccreditedIntermediatePhysical + Virtual5 daysFDRF

Training on Financial Data Review and Fraud Detection

Master financial data review and fraud detection. Learn to identify anomalies, investigate suspicious activities, and prevent financial fraud

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

Financial data review and fraud detection are critical to ensuring the accuracy, transparency, and integrity of financial information. In today’s complex financial environment, institutions must proactively identify errors, inconsistencies, and potential fraudulent activities to maintain trust and stability.

This course provides practical skills in reviewing financial statements and detecting fraud using analytical techniques. It also introduces key Anti-Money Laundering (AML) concepts and their role in strengthening financial oversight and compliance.

Duration

5 Days

Who Should Attend

  • Financial analysts
  • Auditors (internal and external)
  • Compliance officers
  • Risk management professionals
  • Forensic accountants
  • Fraud examiners
  • Finance managers
  • Legal professionals involved in financial fraud cases
Learning outcomes

What you'll walk away with

By the end of this course, participants will:

  • Understand the principles and methodologies of financial data review.
  • Identify common types of financial fraud and their indicators.
  • Conduct effective financial data analysis to detect anomalies and suspicious activities.
  • Develop and implement strategies for fraud prevention and detection.
  • Utilize advanced tools and techniques for forensic analysis.
  • Understand legal and ethical considerations in fraud detection and investigation.
  • Apply best practices in reporting and documenting findings.
Course modules

What we cover, module by module

Module 1: Introduction to Financial Data Review & Financial Statements

  • Importance of financial data review in supervised institutions
  • Overview of the review process and objectives
  • Key stakeholders involved
  • Overview of financial statements (Income Statement, Balance Sheet, Cash Flow)
  • Principles of financial statement preparation and presentation
  • Common areas prone to errors or manipulation
  • Case Study: Regulatory failure due to weak financial review & misstated financial statements
  • Practical: Mapping a financial review process and identifying inconsistencies

Module 2: Financial Fraud Detection Techniques

  • Types of financial fraud (revenue manipulation, expense fraud, asset misappropriation)
  • Red flags and warning signs
  • Analytical procedures for detecting anomalies
  • Vertical and horizontal financial analysis
  • Comparative ratio analysis
  • Identifying inconsistencies and discrepancies
  • Case Study: Corporate fraud detection using financial analysis
  • Practical: Conducting a financial fraud detection review

Module 3: Anti-Money Laundering (AML) & Financial Statement Review

  • Overview of AML regulations and compliance requirements
  • Intersection of AML and financial data review
  • Identifying potential money laundering activities
  • Common money laundering risks in financial statements
  • Fraud as a facilitator of money laundering
  • Case Study: Money laundering through financial statements
  • Practical: Identifying AML red flags in financial data

Module 4: Due Diligence & Transaction Monitoring

  • Role of Enhanced Due Diligence (EDD) in AML
  • Implementing KYC (Know Your Customer) protocols
  • Verifying identities and assessing financial legitimacy
  • Transaction monitoring and anomaly detection
  • Leveraging technology and data analytics
  • Case Study: Due diligence failures and suspicious transaction patterns
  • Practical: Conducting KYC checks and transaction monitoring analysis

Module 5: Reporting, Compliance & Control Frameworks

  • Reporting obligations for suspicious transactions (SAR)
  • Timely reporting procedures and communication channels
  • Internal controls and compliance frameworks
  • Strengthening collaboration between AML and finance teams
  • Best practices in financial data review and regulatory compliance
  • Case Study: Compliance failures and regulatory penalties
  • Practical: Preparing a suspicious activity report (SAR) and compliance checklist
Impact

Where the change lands

Organizational Impact

  • Strengthens ability to prevent, detect, and respond to fraud and financial mismanagement.

  • Provides significant financial protection through risk mitigation, loss recovery, and stronger internal controls.

  • Enhances reputation and credibility with investors, regulators, and the public.

  • Promotes a culture of ethical and professional financial oversight.

Personal Impact

  • Equips participants with specialized skills in fraud detection and prevention.

  • Supports career growth in forensic accounting, risk management, or corporate security.

  • Enables direct contribution to organizational integrity and accountability.

  • Builds confidence and authority to lead robust financial practices.

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

The goal is to teach you how to use data analysis techniques to proactively review financial data, identify anomalies, and detect potential fraud.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on Financial Data Review and Fraud Detection in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.