Fraud Risk Management and Forensic Auditing Training Course

Course Introduction

Fraud can undermine financial performance, operational integrity, stakeholder confidence, regulatory compliance, and organisational reputation, making effective fraud risk management an essential component of modern governance and assurance. The Fraud Risk Management and Forensic Auditing Training Course provides a comprehensive framework for understanding, assessing, preventing, detecting, investigating, and responding to fraud risks across financial, operational, procurement, human resources, technology, revenue, and administrative environments. The programme combines fraud risk management principles with practical forensic auditing techniques to help professionals develop stronger organisational safeguards and investigative capabilities.

Fraud risks are increasingly sophisticated and may involve employees, management, suppliers, contractors, customers, intermediaries, organised networks, or external actors. Fraudulent activities can include asset misappropriation, corruption, procurement manipulation, financial statement fraud, payroll fraud, revenue leakage, false documentation, conflicts of interest, cyber-enabled fraud, identity misuse, and collusive arrangements. Participants will examine how fraud risks arise from weak controls, excessive authority, inadequate segregation of duties, poor oversight, system vulnerabilities, cultural weaknesses, and ineffective monitoring, while learning how to assess fraud exposure across different processes and transaction environments.

The course provides a structured approach to fraud risk assessment, enabling participants to identify fraud schemes, evaluate inherent and residual risk, assess fraud scenarios, analyse control effectiveness, and determine appropriate preventive and detective responses. Participants will explore fraud risk registers, fraud risk indicators, control self-assessments, risk scoring methodologies, fraud risk ownership, management responsibilities, whistleblowing arrangements, and anti-fraud governance. Particular attention is given to integrating fraud risk management with enterprise risk management, internal audit, compliance, cybersecurity, procurement controls, financial management, and organisational ethics.

Forensic auditing requires a different level of evidence discipline, professional scepticism, analytical thinking, and investigative rigour. Participants will learn how to plan forensic engagements, preserve evidence, conduct transaction analysis, trace funds and assets, review documentary records, examine electronic evidence, perform interviews, evaluate inconsistencies, and construct defensible findings. The programme addresses the distinction between routine internal auditing and forensic investigations, helping participants understand when an issue should be escalated for investigation and how audit procedures can be adapted when fraud is suspected.

Technology and data analytics are increasingly important in fraud detection and forensic work. The course examines analytical methods for identifying unusual transactions, duplicate payments, suspicious vendors, abnormal journal entries, unusual employee activity, related-party indicators, unexplained adjustments, unusual access patterns, and other potential fraud signals. Participants will also consider digital evidence, system logs, email and communication records, electronic documents, access histories, mobile and cloud environments, artificial intelligence, automated fraud detection, and cybersecurity-related evidence while recognising the importance of evidence integrity and appropriate investigative procedures.

The programme concludes with advanced approaches to fraud response, investigation reporting, recovery, remediation, disciplinary and legal interfaces, and continuous fraud-risk monitoring. Participants will strengthen their ability to document investigations, communicate findings objectively, develop practical recommendations, support management decisions, and monitor corrective actions. Emerging issues such as generative AI-enabled fraud, deepfakes, synthetic identities, cryptocurrency-related schemes, social engineering, automated attacks, insider threats, and increasingly digital business models are incorporated to ensure that professionals can respond to evolving fraud risks with structured, evidence-based, and resilient assurance strategies.

Duration

10 days

Who Should Attend

• Internal auditors responsible for assessing fraud risks, investigating irregularities, and providing assurance over anti-fraud controls.

• Forensic auditors and investigators seeking advanced techniques for fraud examination, evidence analysis, and investigative reporting.

• Fraud risk managers responsible for developing fraud risk frameworks, registers, controls, monitoring, and response mechanisms.

• Compliance officers evaluating anti-fraud policies, regulatory obligations, ethical controls, and organisational integrity arrangements.

• Risk managers responsible for identifying, assessing, monitoring, and reporting fraud and misconduct risks.

• Finance managers and accountants dealing with financial irregularities, suspicious transactions, reconciliations, and financial control weaknesses.

• Anti-corruption and integrity professionals responsible for fraud prevention, detection, investigations, and organisational ethics.

• Procurement professionals assessing risks involving vendor fraud, collusion, conflicts of interest, bid manipulation, and contract irregularities.

• IT auditors examining technology-enabled fraud, access abuse, system manipulation, cyber-enabled schemes, and digital evidence.

• Security and investigation professionals involved in corporate investigations, misconduct reviews, evidence management, and incident response.

• Legal and governance professionals supporting investigations, disciplinary processes, litigation, regulatory matters, and evidence preservation.

• Senior managers and executives responsible for fraud governance, internal controls, organisational accountability, and risk oversight.

• Data analysts and audit analytics professionals applying technology and analytical techniques to fraud detection and investigation.

• Professionals seeking practical expertise in forensic auditing, fraud risk management, investigative techniques, and fraud response.

Course Objectives

• Develop a comprehensive understanding of fraud risk management principles, forensic auditing methodologies, fraud schemes, organisational vulnerabilities, and professional investigative responsibilities.

• Identify and assess fraud risks across financial, procurement, payroll, revenue, operational, technology, administrative, and third-party processes using structured risk assessment techniques.

• Design and evaluate preventive, detective, and corrective controls that address fraud opportunities, incentives, rationalisations, capability factors, and weaknesses in organisational oversight.

• Apply forensic audit planning techniques to suspected fraud cases, including engagement scoping, investigation objectives, evidence requirements, investigative procedures, confidentiality, and resource planning.

• Strengthen professional scepticism and analytical thinking when evaluating suspicious transactions, contradictory evidence, unusual behaviours, management explanations, and potential control circumvention.

• Apply data analytics techniques to identify fraud indicators, anomalies, duplicate transactions, unusual vendors, suspicious payments, abnormal journals, and other potentially fraudulent activity.

• Conduct effective forensic interviews using structured questioning, evidence-based techniques, behavioural observations, corroboration, documentation, and appropriate investigative safeguards.

• Evaluate documentary, electronic, financial, transactional, digital, and testimonial evidence while maintaining integrity, traceability, confidentiality, and appropriate evidence-handling procedures.

• Investigate common fraud schemes involving procurement, payments, payroll, revenue, expenses, inventory, assets, financial reporting, conflicts of interest, cyber-enabled activity, and third-party relationships.

• Develop clear and defensible forensic findings by connecting evidence, facts, transactions, control failures, root causes, financial impact, responsible processes, and identified fraud indicators.

• Prepare professional investigation reports and recommendations that support management action, recovery efforts, disciplinary processes, legal review, regulatory reporting, and sustainable control improvements.

• Establish advanced fraud monitoring and assurance strategies incorporating continuous auditing, analytics, whistleblowing, technology-enabled detection, emerging fraud intelligence, and evolving digital fraud threats.

Comprehensive Course Outline

Module 1: Foundations of Fraud Risk Management and Forensic Auditing

• Definitions, characteristics, categories, drivers, and organisational consequences of fraud and fraudulent conduct.

• Distinction between internal auditing, fraud risk management, forensic auditing, investigation, compliance review, and conventional assurance engagements.

• The fraud triangle, fraud diamond, behavioural indicators, opportunity structures, and organisational conditions influencing fraud exposure.

• Professional ethics, objectivity, scepticism, confidentiality, independence, competence, and responsibilities when fraud concerns arise.

Module 2: Fraud Governance, Policies and Organisational Culture

• Fraud governance structures, board and management responsibilities, accountability frameworks, and oversight arrangements.

• Evaluation of anti-fraud policies, codes of conduct, conflict-of-interest requirements, investigation protocols, and disciplinary frameworks.

• Organisational culture, ethical leadership, tone at the top, employee awareness, integrity programmes, and behavioural risk management.

• Whistleblowing systems, protected reporting channels, retaliation risks, case management, escalation procedures, and governance reporting.

Module 3: Fraud Risk Assessment and Fraud Scenario Analysis

• Identifying fraud risks across revenue, procurement, payroll, finance, operations, assets, technology, and third-party activities.

• Development of fraud risk registers, fraud scenarios, inherent-risk assessments, residual-risk evaluations, and control mapping.

• Assessment of fraud incentives, pressures, opportunities, rationalisations, capabilities, and environmental conditions.

• Prioritisation of fraud risks using exposure, likelihood, control effectiveness, potential impact, and emerging-threat considerations.

Module 4: Fraud Prevention and Internal Control Design

• Preventive controls including segregation of duties, authorisation, access restrictions, approvals, reconciliations, supervision, and independent review.

• Detective controls including exception reporting, management review, whistleblowing, reconciliations, analytics, monitoring, and continuous auditing.

• Assessment of control circumvention, override risks, privileged access, manual interventions, and management override vulnerabilities.

• Designing integrated anti-fraud controls that combine governance, processes, people, technology, monitoring, and accountability.

Module 5: Forensic Audit Planning and Investigation Methodology

• Initiating forensic engagements, defining allegations, establishing investigation objectives, determining scope, and identifying investigative priorities.

• Investigation planning, case documentation, evidence requirements, work programmes, timelines, responsibilities, and confidentiality protocols.

• Developing hypotheses, investigative questions, evidence maps, transaction populations, persons of interest, and lines of enquiry.

• Maintaining independence, avoiding premature conclusions, documenting professional judgement, and managing conflicts during investigations.

Module 6: Evidence Collection, Preservation and Documentation

• Types of forensic evidence including documentary, financial, transactional, electronic, physical, testimonial, and circumstantial evidence.

• Evidence preservation, integrity, chain of custody, secure storage, access controls, evidence registers, and investigation documentation.

• Evaluating authenticity, relevance, reliability, completeness, corroboration, chronology, and consistency of evidence.

• Handling sensitive records, electronic documents, system logs, communications, financial data, and other investigative materials appropriately.

Module 7: Financial Forensics and Transaction Analysis

• Analysing financial transactions, ledgers, journals, bank statements, reconciliations, invoices, receipts, payments, and supporting documentation.

• Techniques for tracing funds, identifying unusual movements, reconstructing transactions, following money flows, and linking related accounts.

• Investigating unexplained adjustments, duplicate payments, unusual journal entries, suspicious transfers, round-dollar transactions, and abnormal timing.

• Applying financial analysis to quantify losses, identify recovery opportunities, establish transaction relationships, and support forensic conclusions.

Module 8: Fraud Data Analytics and Technology-Enabled Detection

• Designing fraud analytics procedures using structured data, exception testing, pattern recognition, trend analysis, and anomaly identification.

• Detecting duplicate transactions, unusual vendors, suspicious employee activity, abnormal payments, repeated overrides, and unusual access patterns.

• Applying continuous auditing, automated alerts, dashboards, rules-based monitoring, machine learning, and advanced analytical techniques.

• Assessing limitations of analytical results, false positives, data quality, model governance, explainability, and appropriate investigative corroboration.

Module 9: Investigative Interviewing and Behavioural Evidence

• Planning forensic interviews, establishing objectives, preparing evidence, sequencing questions, and selecting appropriate interview strategies.

• Open-ended, probing, clarification, contradiction, corroboration, and evidence-based questioning techniques for investigative environments.

• Evaluating explanations, inconsistencies, evasive responses, documentary contradictions, and behavioural observations without premature conclusions.

• Documenting interviews, protecting confidentiality, managing sensitive interactions, and integrating testimonial evidence with other investigative evidence.

Module 10: Procurement, Vendor and Third-Party Fraud Investigations

• Fraud risks involving bid manipulation, collusion, conflicts of interest, fictitious vendors, inflated pricing, kickbacks, and procurement bypasses.

• Analysing vendor master data, tender documentation, bid patterns, purchase orders, invoices, contracts, payments, and supplier relationships.

• Identifying related-party indicators, common ownership signals, unusual bidding patterns, repeated awards, split purchases, and suspicious contract changes.

• Investigating third-party misconduct, documenting evidence, assessing control failures, supporting recovery, and strengthening supplier assurance.

Module 11: Financial Reporting, Payroll, Revenue and Asset Fraud

• Investigating financial statement manipulation, inappropriate recognition, concealed liabilities, unsupported balances, and management override risks.

• Examining payroll fraud involving ghost employees, fictitious overtime, unauthorised allowances, duplicate payments, and employee master-data manipulation.

• Investigating revenue fraud, concealed collections, fictitious sales, unauthorised discounts, false refunds, billing manipulation, and collection leakage.

• Assessing asset misappropriation involving inventory, fixed assets, cash, equipment, vehicles, intellectual property, and other organisational resources.

Module 12: Digital Fraud, Cyber-Enabled Schemes and Electronic Evidence

• Understanding phishing, social engineering, identity fraud, account compromise, business email compromise, payment redirection, and other cyber-enabled schemes.

• Evaluating system access logs, user activity, electronic communications, application records, device information, and digital transaction histories.

• Assessing insider threats, privileged access abuse, unauthorised changes, automated fraud, malware-related incidents, and compromised credentials.

• Coordinating forensic audit activities with IT security, cybersecurity, digital forensics, legal, compliance, and incident-response functions.

Module 13: Case Development, Root Cause and Financial Impact Analysis

• Building coherent investigative cases by linking allegations, evidence, transactions, control weaknesses, persons, processes, and identified fraud indicators.

• Applying root cause analysis to determine why fraud occurred and which governance, control, cultural, process, or technology weaknesses enabled it.

• Quantifying financial losses, exposure, recoverable amounts, avoided losses, control impacts, and potential future exposure using reliable evidence.

• Evaluating alternative explanations, contradictory evidence, uncertainty, evidential limitations, and the distinction between facts and investigative conclusions.

Module 14: Forensic Reporting, Legal Interfaces and Fraud Response

• Preparing objective forensic reports covering allegations, scope, methodology, evidence, findings, financial impact, limitations, and conclusions.

• Communicating investigation results to management, audit committees, legal advisers, regulators, disciplinary bodies, and other authorised stakeholders.

• Understanding interfaces between forensic auditing, employment procedures, civil recovery, criminal processes, regulatory investigations, and litigation support.

• Developing remediation plans addressing control weaknesses, recovery actions, disciplinary considerations, policy improvements, and fraud-risk reduction.

Module 15: Fraud Monitoring, Case Management and Follow-Up

• Establishing fraud case-management systems covering allegations, triage, prioritisation, investigation status, evidence, actions, outcomes, and lessons learned.

• Developing fraud indicators, key risk indicators, continuous monitoring routines, management dashboards, and escalation thresholds.

• Conducting post-investigation reviews to determine whether recommendations have been implemented and underlying fraud vulnerabilities addressed.

• Measuring fraud programme effectiveness through case trends, response times, recovery outcomes, control improvements, awareness indicators, and recurring-risk analysis.

Module 16: Emerging Fraud Risks and Advanced Forensic Assurance Strategy

• Emerging fraud threats involving generative artificial intelligence, deepfakes, synthetic identities, automated social engineering, and sophisticated digital manipulation.

• Cryptocurrency-related fraud, digital assets, online payment ecosystems, remote work risks, identity compromise, and technology-enabled financial crime.

• Advanced use of artificial intelligence, predictive analytics, graph analysis, behavioural analytics, and continuous monitoring for fraud-risk management.

• Developing a future-ready forensic assurance strategy integrating fraud intelligence, investigation capability, digital evidence, analytics, governance, resilience, and continuous improvement.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.