Course Introduction

Fraud risk management is a critical component of effective governance, internal control, and assurance because fraud can undermine financial performance, operational effectiveness, regulatory compliance, organisational reputation, and stakeholder confidence. This course provides auditors with a structured framework for evaluating how organisations identify, assess, prevent, detect, investigate, respond to, and monitor fraud risks. Participants will learn how to assess fraud risk management maturity while maintaining the independent assurance role of internal audit.

Effective fraud risk management requires organisations to understand where fraud could occur, how existing controls may be circumvented, and which circumstances could increase exposure to fraudulent behaviour. The programme enables auditors to examine fraud risks across financial, operational, procurement, revenue, payroll, treasury, technology, third-party, and strategic processes. Participants will develop practical approaches for assessing fraud schemes, control vulnerabilities, fraud indicators, management responses, and residual exposure.

The course places particular emphasis on the auditor’s role in fraud risk assessment and assurance. Participants will learn how to distinguish management’s responsibility for preventing and detecting fraud from internal audit’s responsibility to provide independent assurance over the effectiveness of fraud risk management processes. The programme examines how auditors can evaluate fraud risk assessments, test relevant controls, analyse fraud indicators, review monitoring activities, assess investigations, and communicate significant weaknesses without assuming operational ownership.

A major component of the programme is the integration of fraud risk management with risk-based internal auditing. Participants will explore how fraud risks should influence audit universe development, engagement selection, audit planning, scope determination, testing strategies, sampling, data analytics, evidence evaluation, and reporting. The course also examines how fraud risk information from whistleblowing channels, investigations, incidents, control failures, previous audits, management monitoring, and external intelligence can strengthen audit risk assessments.

Technology is transforming both fraud risks and fraud detection capabilities. Digital payments, cloud systems, automated processes, artificial intelligence, synthetic identities, cyber-enabled fraud, data manipulation, cryptocurrency-related activity, and complex third-party ecosystems create new challenges for auditors. The programme incorporates these emerging issues and examines how data analytics, continuous monitoring, automated controls testing, artificial intelligence-assisted analysis, and transaction surveillance can support fraud risk assurance while recognising data quality, validation, and human oversight requirements.

By the end of the programme, participants will be able to evaluate fraud risk management frameworks, develop fraud-focused audit procedures, assess preventive and detective controls, analyse fraud indicators, review investigations, evaluate remediation, and report fraud risk exposures effectively. Practical exercises, fraud-risk scenarios, control assessment activities, analytical case studies, and audit planning exercises will help participants translate the concepts into a disciplined and repeatable approach for providing meaningful fraud risk assurance.

Duration

10 days

Who Should Attend

• Internal auditors responsible for assessing fraud risk management frameworks and controls.

• Audit managers and supervisors responsible for fraud-focused assurance engagements.

• Chief audit executives seeking to strengthen fraud risk assurance capabilities.

• Risk managers responsible for enterprise fraud risk assessment and monitoring.

• Fraud risk professionals designing organisational fraud prevention and detection programmes.

• Compliance officers responsible for fraud, misconduct, ethics, and financial integrity risks.

• Forensic auditors and fraud examiners involved in fraud-risk assessments and investigations.

• External auditors assessing fraud risks within financial reporting and control environments.

• Finance professionals responsible for financial controls, fraud prevention, and risk management.

• Procurement, revenue, payroll, treasury, and operations professionals exposed to fraud risks.

• Information technology auditors assessing technology-enabled fraud and control risks.

• Governance professionals supporting audit committees and senior management with fraud risk information.

• Anti-corruption and integrity professionals involved in fraud prevention and response frameworks.

• Professionals transitioning into internal audit, fraud risk management, or assurance roles.

Course Objectives

• Develop a comprehensive understanding of fraud risk management principles and the auditor’s role in providing independent assurance over fraud-related governance and controls.

• Equip participants to identify fraud risks across financial, operational, procurement, revenue, payroll, treasury, technology, third-party, and strategic business processes.

• Develop practical techniques for evaluating organisational fraud risk assessments, fraud scenarios, inherent exposure, control effectiveness, residual risk, and management responses.

• Strengthen participants’ ability to assess preventive, detective, corrective, monitoring, and investigative controls designed to reduce fraud opportunities and financial exposure.

• Enable auditors to integrate fraud risks into audit universe development, risk assessment, engagement planning, audit scope, testing strategies, sampling, and resource allocation.

• Develop advanced approaches for identifying fraud indicators through financial analysis, control testing, exception reporting, whistleblowing information, incidents, investigations, and audit findings.

• Strengthen the ability to evaluate management’s fraud governance, accountability, policies, training, reporting channels, investigation arrangements, disciplinary processes, and remediation mechanisms.

• Equip participants to use data analytics, transaction monitoring, automated testing, visualisation, and other technology-enabled methods to identify potential fraud risks and anomalies.

• Develop practical methods for assessing fraud risks associated with artificial intelligence, digital payments, cyber-enabled fraud, third parties, automated systems, and emerging technologies.

• Strengthen auditors’ ability to evaluate fraud investigations, evidence management, root cause analysis, financial impact assessments, corrective actions, and recurrence-prevention measures.

• Improve fraud-risk audit reporting by linking control weaknesses and governance deficiencies to potential exposure, root causes, consequences, and practical recommendations.

• Establish an advanced fraud risk assurance approach incorporating continuous monitoring, emerging-risk intelligence, analytics, governance oversight, and continuous improvement.

Comprehensive Course Outline

Module 1: Foundations of Fraud Risk Management for Auditors

• Principles, objectives, components, governance expectations, and professional considerations underlying effective fraud risk management.

• Distinguishing fraud risk management, fraud prevention, fraud detection, fraud investigation, internal audit, forensic auditing, and conventional control assurance.

• Understanding the auditor’s role in assessing fraud risk management while preserving independence, objectivity, professional scepticism, and appropriate boundaries.

• Common weaknesses in organisational fraud risk management and their implications for governance, financial performance, controls, compliance, and stakeholder confidence.

Module 2: Fraud Governance, Accountability and Organisational Frameworks

• Evaluating fraud governance structures, policies, responsibilities, reporting lines, oversight mechanisms, escalation arrangements, and accountability frameworks.

• Assessing the roles of boards, audit committees, management, risk functions, compliance, human resources, finance, internal audit, and specialist investigation teams.

• Auditing fraud policies, codes of conduct, fraud response frameworks, reporting protocols, investigation procedures, and management accountability arrangements.

• Assessing whether fraud responsibilities are clearly defined, appropriately communicated, consistently implemented, and periodically reviewed.

Module 3: Fraud Risk Assessment and Fraud Scheme Identification

• Developing structured fraud risk assessments across business processes, financial activities, operational functions, technology environments, and third-party relationships.

• Identifying potential fraud schemes involving asset misappropriation, corruption, financial statement manipulation, procurement, revenue, payroll, expenses, and payments.

• Assessing fraud scenarios according to likelihood, impact, opportunity, concealment, capability, management override, collusion, and control vulnerability.

• Developing fraud risk registers that document scenarios, risk factors, controls, responsible owners, residual exposure, indicators, and planned responses.

Module 4: Fraud Risk Integration with Internal Audit Planning

• Integrating fraud risk information into audit universe development, organisational risk assessment, annual audit planning, engagement selection, and resource prioritisation.

• Translating fraud risks into audit objectives, scope, procedures, evidence requirements, sampling strategies, analytical tests, and engagement-level risk considerations.

• Determining appropriate audit responses to fraud risks based on significance, control maturity, prior incidents, exposure, management concerns, and emerging intelligence.

• Coordinating fraud-related assurance with risk management, compliance, investigations, external audit, security, information technology, and other assurance providers.

Module 5: Fraud Prevention and Internal Control Assessment

• Evaluating preventive controls designed to reduce fraud opportunity through segregation of duties, authorisation, access controls, reconciliations, supervision, and governance.

• Assessing detective controls including exception reports, reconciliations, transaction monitoring, management reviews, whistleblowing, analytics, and control self-assessments.

• Testing control design and operating effectiveness while identifying weaknesses that could facilitate fraud, concealment, collusion, or management override.

• Evaluating whether control improvements address underlying fraud risks rather than simply correcting isolated transactional exceptions.

Module 6: Fraud Detection, Indicators and Red-Flag Analysis

• Identifying financial, operational, behavioural, technological, transactional, and organisational indicators associated with potential fraud exposure.

• Analysing unusual transactions, duplicate payments, unexpected relationships, abnormal trends, unexplained adjustments, override activity, and control exceptions.

• Using audit findings, whistleblowing information, complaints, investigation results, incidents, management reports, and other intelligence to identify emerging fraud indicators.

• Distinguishing legitimate business anomalies, errors, control failures, misconduct indicators, and potential fraudulent activity through evidence-based analysis.

Module 7: Data Analytics and Continuous Fraud Monitoring

• Applying data analytics to financial, procurement, payroll, revenue, expense, treasury, inventory, and operational datasets for fraud-risk identification.

• Developing fraud-monitoring rules using duplicate detection, exception analysis, threshold testing, sequence analysis, unusual timing, transaction clustering, and relationship analysis.

• Designing dashboards and fraud-risk indicators that support continuous monitoring, investigation prioritisation, escalation, and management oversight.

• Evaluating automated fraud detection and artificial intelligence-assisted analytics while addressing data completeness, false positives, model validation, explainability, and human review.

Module 8: Fraud Risk in Financial and Operational Processes

• Auditing fraud risks in procurement, supplier management, contracting, payments, expenses, payroll, revenue collection, treasury, and financial reporting.

• Assessing asset misappropriation risks involving inventory, cash, equipment, intellectual property, customer information, and other organisational resources.

• Evaluating operational fraud risks involving service delivery, customer transactions, claims, refunds, discounts, inventory movements, and process overrides.

• Mapping fraud risks across end-to-end processes to identify control dependencies, high-risk points, opportunities for collusion, and assurance gaps.

Module 9: Third-Party, Technology and Emerging Fraud Risks

• Assessing fraud risks associated with suppliers, agents, contractors, distributors, consultants, outsourced providers, and other third-party relationships.

• Auditing technology-enabled fraud risks involving digital payments, electronic transfers, cloud platforms, ERP systems, application access, automation, and system interfaces.

• Evaluating emerging fraud threats involving artificial intelligence, deepfake-enabled deception, synthetic identities, social engineering, account takeover, and automated fraud.

• Assessing fraud exposure arising from cryptocurrencies, digital assets, fintech relationships, platform-based services, cross-border transactions, and complex third-party ecosystems.

Module 10: Whistleblowing, Allegations and Fraud Reporting Mechanisms

• Evaluating whistleblowing frameworks, confidential reporting channels, allegation intake procedures, triage, escalation, protection mechanisms, and governance oversight.

• Assessing whether employees, suppliers, customers, and other stakeholders can report suspected fraud safely and through accessible channels.

• Auditing allegation-management processes for completeness, confidentiality, documentation, response timeliness, case categorisation, and appropriate referral.

• Evaluating trends in reported allegations, substantiated cases, recurring issues, retaliation concerns, and management responses as fraud-risk intelligence.

Module 11: Fraud Investigation Oversight and Response Assurance

• Evaluating fraud investigation frameworks, case-management processes, investigation protocols, responsibilities, escalation arrangements, and reporting mechanisms.

• Assessing whether investigations are appropriately scoped, evidence-based, documented, objective, confidential, and conducted by suitably competent personnel.

• Reviewing evidence management, investigative findings, root cause analysis, financial impact assessment, recovery actions, disciplinary responses, and control remediation.

• Assessing the effectiveness of post-investigation actions in reducing recurrence and addressing systemic weaknesses rather than only individual incidents.

Module 12: Fraud Risk, Ethics, Culture and Management Override

• Evaluating organisational culture, ethical expectations, leadership behaviour, incentives, performance pressures, and other factors that may influence fraud risk.

• Assessing management override risks involving approvals, journal entries, estimates, procurement decisions, access rights, payment controls, and reporting adjustments.

• Auditing conflicts of interest, related-party arrangements, gifts and hospitality, declarations, ethical training, and integrity controls.

• Using culture and conduct indicators to identify environments where fraud risks may be amplified by weak challenge, poor accountability, or inappropriate incentives.

Module 13: Fraud Risk in Financial Reporting and Accounting

• Assessing fraud risks associated with revenue recognition, financial estimates, provisions, valuations, expenses, liabilities, capitalisation, disclosures, and financial statement adjustments.

• Auditing journal-entry controls, period-end processes, manual adjustments, suspense accounts, reconciliations, management estimates, and unusual accounting activity.

• Evaluating risks of fictitious transactions, concealed liabilities, premature revenue recognition, inappropriate capitalisation, and manipulation of financial results.

• Integrating financial reporting fraud risks with internal controls, external audit considerations, management oversight, financial analytics, and audit committee reporting.

Module 14: Fraud Risk Measurement, Metrics and Assurance Reporting

• Developing fraud risk indicators, key risk indicators, control indicators, incident measures, investigation statistics, and trend information for governance monitoring.

• Assessing fraud risk exposure through frequency, financial impact, control weakness, recurrence, concentration, speed of loss, and emerging threat indicators.

• Developing fraud risk dashboards and assurance reports that communicate significant exposures, control weaknesses, trends, investigations, and management responses.

• Presenting fraud risk information objectively to senior management, audit committees, boards, risk committees, and other authorised stakeholders.

Module 15: Fraud Risk Remediation, Recovery and Follow-Up

• Evaluating management responses to fraud risks, including control improvements, policy changes, disciplinary action, recovery initiatives, monitoring, and process redesign.

• Assessing whether corrective actions address root causes, control weaknesses, incentive problems, technology vulnerabilities, and governance failures.

• Monitoring remediation commitments, overdue actions, repeat incidents, unresolved risks, financial recovery, and changes in residual fraud exposure.

• Using investigation and audit lessons to update fraud risk assessments, control frameworks, audit plans, training programmes, and organisational fraud prevention strategies.

Module 16: Advanced Fraud Risk Assurance Strategy

• Developing an integrated fraud risk assurance model connecting governance, risk assessment, prevention, detection, investigation, internal audit, analytics, and continuous monitoring.

• Designing forward-looking fraud risk strategies that incorporate emerging technology, changing business models, third-party dependencies, cyber threats, and evolving fraud techniques.

• Establishing continuous fraud assurance through automated testing, transaction monitoring, risk intelligence, data analytics, artificial intelligence, and targeted audit interventions.

• Building sustainable fraud risk maturity through independent assurance, strong accountability, continuous improvement, specialist capability, effective governance, and evidence-based decision-making.

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.