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Suspicious Transaction Analysis for Auditors Training Course

Strengthen your ability to identify, analyze, investigate, and document suspicious financial transactions. This practical course combines audit procedures, transaction tracing, data analytics, digital evidence, fraud red flags, professional skepticism, and continuous monitoring techniques.
Duration: 5 Days Classroom & Online In-House Available Certificate on Completion

Training Registration & Schedule

Compare training options, fees and available dates, then register for your preferred session.

Online Training Registration

Training ModePlatformDurationFee per ParticipantRegistration
LIVE ONLINEInstructor-led training Zoom / Google MeetAttend from anywhere 5 days USD 900 Register Online →

Classroom / On-site Training Schedule

15 upcoming sessions

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Training DatesLocationTraining ModeFee per ParticipantRegistration
19 Oct 2026 – 23 Oct 20265 training days Nairobi CLASSROOM USD 1,500 Register Now →
19 Oct 2026 – 23 Oct 20265 training days Mombasa CLASSROOM USD 1,750 Register Now →
16 Nov 2026 – 20 Nov 20265 training days Nairobi CLASSROOM USD 1,500 Register Now →
16 Nov 2026 – 20 Nov 20265 training days Mombasa CLASSROOM USD 1,750 Register Now →
16 Nov 2026 – 20 Nov 20265 training days Kigali CLASSROOM USD 2,500 Register Now →
21 Dec 2026 – 25 Dec 20265 training days Nairobi CLASSROOM USD 1,500 Register Now →
21 Dec 2026 – 25 Dec 20265 training days Dubai CLASSROOM USD 4,900 Register Now →
21 Dec 2026 – 25 Dec 20265 training days Mombasa CLASSROOM USD 1,750 Register Now →
18 Jan 2027 – 22 Jan 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
15 Feb 2027 – 19 Feb 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
15 Mar 2027 – 19 Mar 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
19 Apr 2027 – 23 Apr 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
17 May 2027 – 21 May 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
21 Jun 2027 – 25 Jun 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
19 Jul 2027 – 23 Jul 20275 training days Nairobi CLASSROOM USD 1,500 Register Now →
Need registration assistance? Contact training@upskilldevelopment.com for training dates, invoices and invitation letters.

Nairobi, Kenya Classroom/On-site Training Schedule

Course Date Location Fee Enroll
19/10/2026 to 23/10/2026 Nairobi 1,500 USD Register
16/11/2026 to 20/11/2026 Nairobi 1,500 USD Register
21/12/2026 to 25/12/2026 Nairobi 1,500 USD Register
18/01/2027 to 22/01/2027 Nairobi 1,500 USD Register
15/02/2027 to 19/02/2027 Nairobi 1,500 USD Register
15/03/2027 to 19/03/2027 Nairobi 1,500 USD Register
19/04/2027 to 23/04/2027 Nairobi 1,500 USD Register
17/05/2027 to 21/05/2027 Nairobi 1,500 USD Register
21/06/2027 to 25/06/2027 Nairobi 1,500 USD Register
19/07/2027 to 23/07/2027 Nairobi 1,500 USD Register
16/08/2027 to 20/08/2027 Nairobi 1,500 USD Register
20/09/2027 to 24/09/2027 Nairobi 1,500 USD Register
18/10/2027 to 22/10/2027 Nairobi 1,500 USD Register
15/11/2027 to 19/11/2027 Nairobi 1,500 USD Register
20/12/2027 to 24/12/2027 Nairobi 1,500 USD Register

Mombasa, Kenya Classroom/On-site Training Schedule

Course Date Location Fee Enroll
19/10/2026 to 23/10/2026 Mombasa 1,750 USD Register
16/11/2026 to 20/11/2026 Mombasa 1,750 USD Register
21/12/2026 to 25/12/2026 Mombasa 1,750 USD Register

Kigali, Rwanda Classroom/On-site Training Schedule

Course Date Location Fee Enroll
16/11/2026 to 20/11/2026 Kigali 2,500 USD Register

Dubai, UAE Classroom/On-site Training Schedule

Course Date Location Fee Enroll
21/12/2026 to 25/12/2026 Dubai 4,900 USD Register

Dar es Salaam, Tanzania Classroom/On-site Training Schedule

Course Date Location Fee Enroll

Kampala, Uganda Classroom/On-site Training Schedule

Course Date Location Fee Enroll

Course Introduction

Suspicious transactions can indicate fraud, financial misconduct, control circumvention, unauthorized activity, money laundering, corruption, revenue leakage, asset misappropriation, or other financial irregularities. The Suspicious Transaction Analysis for Auditors Training Course provides auditors and finance professionals with a structured approach to identifying, analyzing, documenting, and escalating unusual financial transactions using audit evidence, analytical procedures, professional skepticism, and risk-based investigation techniques.

The course examines how suspicious activity can appear across general ledger transactions, cash movements, payments, receipts, procurement, payroll, expenses, revenue, banking, intercompany accounts, and customer or supplier accounts. Participants learn how to distinguish normal business exceptions from transactions that warrant additional investigation, while developing a disciplined process for evaluating transaction characteristics, relationships, timing, frequency, amounts, authorization, supporting documentation, and accounting treatment.

A strong emphasis is placed on developing effective transaction-monitoring and analytical procedures. Participants explore techniques such as trend analysis, ratio analysis, unusual-value testing, duplicate detection, sequence analysis, round-dollar testing, weekend and after-hours activity analysis, unusual account relationships, dormant-account activity, and unexpected changes in transaction patterns. These techniques help auditors move beyond isolated transactions and identify broader patterns or connected activities.

The training also addresses how auditors should investigate suspicious transactions without prematurely concluding that misconduct has occurred. Participants learn to establish investigation criteria, gather corroborating evidence, evaluate explanations, perform follow-up testing, document exceptions, assess control implications, and distinguish confirmed findings from unresolved concerns. Particular attention is given to evidence reliability, audit trails, source documentation, system records, approvals, reconciliations, and third-party evidence.

Modern financial environments create additional challenges because transactions increasingly pass through ERP systems, automated workflows, digital banking platforms, mobile payment systems, payment gateways, cloud applications, and integrated financial technologies. The course therefore explores technology-enabled transaction risks, unauthorized system activity, automated journal entries, beneficiary changes, digital payment anomalies, access-related risks, and the use of artificial intelligence and advanced analytics in suspicious transaction monitoring.

Through practical exercises and case studies, participants develop an end-to-end methodology for analyzing suspicious transactions, from initial red-flag identification through transaction reconstruction, data analysis, evidence gathering, escalation, reporting, and control improvement. The course is designed to strengthen auditors' ability to recognize meaningful anomalies while maintaining objectivity, professional skepticism, appropriate documentation, and a defensible audit trail.

Duration

5 days

Who Should Attend

  • Internal auditors responsible for transaction testing and financial irregularity reviews.

  • External auditors performing fraud risk assessment and substantive transaction procedures.

  • Forensic accountants investigating unusual or potentially fraudulent financial activity.

  • Fraud examiners and financial investigators analyzing suspicious transaction patterns.

  • Finance managers responsible for monitoring financial transactions and control exceptions.

  • Compliance professionals involved in transaction monitoring and financial risk assessment.

  • Risk management professionals evaluating financial and operational transaction risks.

  • Accounting professionals responsible for reviewing unusual journal entries and account activity.

  • Treasury professionals analyzing suspicious payments, transfers, and banking activity.

  • Internal control specialists assessing transaction authorization and processing controls.

  • Audit managers and supervisors responsible for reviewing high-risk transaction findings.

  • Financial crime and anti-fraud professionals supporting transaction investigations.

  • Data analysts supporting audit analytics and continuous transaction monitoring.

  • Governance professionals responsible for financial oversight and escalation processes.

  • Professionals seeking practical skills in suspicious transaction analysis and audit investigation.

Course Objectives

  • Understand the characteristics of suspicious transactions and the financial, operational, fraud, and control risks they may indicate.

  • Identify transaction-level, account-level, process-level, and behavioral red flags that should trigger additional audit analysis or investigation.

  • Develop risk-based procedures for screening, prioritizing, testing, documenting, and escalating unusual financial transactions.

  • Apply analytical techniques to identify unusual amounts, timing, frequency, counterparties, account relationships, reversals, adjustments, and transaction patterns.

  • Evaluate supporting documentation, authorization records, accounting entries, system information, and third-party evidence when assessing suspicious transactions.

  • Trace transactions across ledgers, subledgers, bank accounts, suppliers, customers, employees, and other connected financial records.

  • Use data analytics to identify patterns and anomalies that may not be detected through traditional sample-based transaction testing.

  • Apply professional skepticism when evaluating management explanations, transaction documentation, unusual exceptions, and potentially manipulated financial records.

  • Assess the control weaknesses, process failures, access issues, overrides, and segregation-of-duties conflicts that may enable suspicious transactions.

  • Prepare clear and defensible audit documentation and reports covering suspicious activity, supporting evidence, financial impact, escalation, and recommended corrective actions.

Comprehensive Course Outline

Module 1: Suspicious Transaction Analysis and Audit Fundamentals

  • Understanding suspicious transactions, financial anomalies, exceptions, irregularities, and their relevance to audit work.

  • Distinguishing unusual transactions from fraudulent, unauthorized, erroneous, or legitimate business activity.

  • Establishing professional skepticism, objectivity, confidentiality, and evidence-based evaluation principles.

  • Defining audit objectives, transaction populations, risk criteria, analytical procedures, and escalation thresholds.

Module 2: Transaction Risk Assessment and Red Flag Identification

  • Identifying transaction characteristics associated with fraud, manipulation, unauthorized activity, and control circumvention.

  • Assessing unusual transaction amounts, timing, frequency, counterparties, descriptions, accounts, and approval patterns.

  • Developing risk-based red flags for cash, revenue, procurement, payroll, expenses, payments, and journal entries.

  • Prioritizing suspicious transactions based on financial significance, risk exposure, recurrence, and control weaknesses.

Module 3: General Ledger and Journal Entry Suspicious Transaction Analysis

  • Identifying unusual journal entries based on timing, users, accounts, amounts, descriptions, and posting characteristics.

  • Analyzing manual journals, late postings, unusual adjustments, reversals, reclassifications, and period-end transactions.

  • Investigating journal entries that bypass normal workflows, approvals, automated controls, or established accounting processes.

  • Linking suspicious journal entries to supporting documentation, source transactions, account balances, and financial statement effects.

Module 4: Cash, Banking, Payment, and Transfer Transaction Analysis

  • Analyzing unusual cash withdrawals, deposits, transfers, refunds, payments, and bank reconciliation items.

  • Identifying suspicious payment patterns involving new beneficiaries, unusual accounts, split payments, and unusual transaction timing.

  • Comparing accounting records with bank statements, payment files, authorization records, and reconciliation documentation.

  • Investigating unexplained transfers, dormant-account activity, rapid fund movements, and transactions lacking business justification.

Module 5: Revenue, Procurement, Payroll, and Expense Transaction Analysis

  • Detecting suspicious revenue transactions involving unusual discounts, refunds, credits, reversals, timing, or customer activity.

  • Analyzing procurement transactions for unusual suppliers, duplicate invoices, split purchases, price anomalies, and irregular approvals.

  • Identifying payroll anomalies involving unusual employees, payments, allowances, overtime, deductions, and changes to employee banking information.

  • Investigating expense transactions involving duplicate claims, unusual amounts, unsupported documentation, personal expenditure, or policy exceptions.

Module 6: Supporting Evidence, Transaction Tracing, and Investigation Procedures

  • Establishing evidence requirements for suspicious transaction analysis and documenting the source and reliability of information.

  • Tracing transactions from source documents through accounting systems, approvals, subledgers, general ledger accounts, and financial statements.

  • Reconciling suspicious transactions with bank records, contracts, invoices, receipts, delivery records, and other corroborating evidence.

  • Developing follow-up procedures to test explanations, resolve exceptions, identify connected transactions, and establish transaction chronology.

Module 7: Data Analytics and Automated Suspicious Transaction Detection

  • Using data analytics to screen large transaction populations and identify unusual patterns, relationships, and exceptions.

  • Applying duplicate testing, threshold analysis, sequence testing, outlier analysis, trend analysis, and frequency-based testing.

  • Developing transaction-monitoring rules, exception reports, dashboards, and continuous auditing procedures for high-risk populations.

  • Evaluating data quality, completeness, accuracy, extraction controls, and analytical limitations before relying on automated results.

Module 8: Digital Transactions, Cybersecurity, AI, and Emerging Risks

  • Analyzing suspicious transactions across digital banking, mobile payments, payment gateways, e-commerce, and cloud-based financial systems.

  • Investigating unauthorized access, credential misuse, beneficiary changes, system overrides, and digitally altered transaction records.

  • Understanding how automation, artificial intelligence, synthetic identities, and emerging technologies can create new transaction risks.

  • Using system logs, access records, audit trails, metadata, and digital transaction histories to support suspicious activity analysis.

Module 9: Evidence Evaluation, Findings, Root Cause Analysis, and Escalation

  • Evaluating whether suspicious transaction indicators are supported by sufficient and appropriate audit evidence.

  • Distinguishing confirmed findings, control exceptions, unresolved anomalies, and matters requiring additional investigation.

  • Performing root cause analysis to identify process weaknesses, inadequate supervision, access deficiencies, and control circumvention.

  • Determining appropriate escalation, reporting, management communication, and follow-up procedures for significant transaction concerns.

Module 10: Audit Reporting, Continuous Monitoring, and Practical Case Studies

  • Preparing clear audit documentation describing suspicious transactions, procedures performed, evidence obtained, and findings reached.

  • Communicating significant transaction anomalies to appropriate management, governance, compliance, legal, or investigation functions.

  • Designing continuous monitoring approaches that combine risk indicators, automated analytics, exception reporting, and targeted human review.

  • Applying end-to-end suspicious transaction analysis through practical case studies involving fraud, control overrides, payment anomalies, and financial manipulation.

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.

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Join interactive instructor-led sessions remotely from your office or home.

In-House Training

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Certification

Participants who successfully complete the programme receive a Certificate of Completion from Upskill Development Institute.

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