Certificate Course in Forensic Accounting

Duration 10 days 18 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Internal Auditors, Forensic Accountants and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-FFC-013

Before you join: Participants should be comfortable reading financial statements, following transaction flows and using spreadsheets to review business data.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Fraud allegations often begin with incomplete information: an unexplained journal entry, a supplier linked to an employee, an inflated revenue balance, missing cash, or an anonymous report. Finance, audit, compliance and investigation teams must establish facts without contaminating evidence, making unsupported accusations or overlooking control failures. They need to analyse records, test transactions, document findings and communicate conclusions that can withstand management, regulator, legal and audit committee scrutiny.

This Certificate Course in Forensic Accounting develops the methods used to investigate occupational fraud, financial statement manipulation, procurement fraud, corruption, money laundering indicators and asset misappropriation. Participants examine financial statements, revenue, payroll, expenses, bank activity, journal entries and related-party transactions. They use the ACFE Fraud Tree, COSO Internal Control principles, Benford's Law, data matching, transaction tracing, evidence matrices, interview planning and loss quantification. The programme also addresses digital evidence, chain of custody, anti-bribery controls, suspicious activity indicators, reporting and remediation.

The 10-day instructor-led programme combines short technical briefings with financial crime cases, document reviews, data-analysis tasks, interview simulations, group investigation planning and reporting critiques. Participants begin building investigative work from the first week and deepen it through increasingly complex fact patterns. They leave with a reusable forensic case file containing a scoped investigation plan, risk assessment, analytics approach, evidence matrix, transaction chronology, loss schedule, findings report and remediation plan. Delivery is available in classrooms in 50+ cities or live online, with approximately 6.5 contact hours each day and a certificate of completion.

The course is designed for professionals who already work with financial records, controls, investigations, compliance or assurance and need a disciplined method for examining suspected misconduct.

What you will be able to do

  • Assess fraud risks using the ACFE Fraud Tree, fraud risk factors and control evidence
  • Plan a proportionate forensic investigation with scope, hypotheses, preservation actions and governance approvals
  • Analyse financial statements, revenue, payroll, expenses and cash transactions for fraud indicators
  • Apply data analytics including duplicate testing, outlier analysis, sequence testing and network analysis
  • Preserve and evaluate documentary and digital evidence using chain-of-custody procedures
  • Conduct structured fact-finding interviews using the PEACE interview model and question funnels
  • Quantify suspected losses through transaction tracing, loss schedules and scenario analysis
  • Prepare a defensible forensic report with findings, limitations, exhibits and remediation actions

Benefits of attending

For you

  • Produce investigation plans that define allegations, scope, hypotheses and evidence priorities
  • Identify financial statement manipulation through targeted account analysis and transaction testing
  • Use repeatable analytics to prioritise suspicious transactions for investigation
  • Document evidence and findings in formats suitable for senior management review
  • Build credible loss schedules for recovery, disciplinary or legal decisions

For your organisation

  • Earlier detection of fraud indicators in financial reporting, procurement, payroll and payments
  • More consistent handling of allegations, evidence preservation and investigation governance
  • Better-quality investigation reports for audit committees, regulators and legal advisers
  • Targeted remediation of control weaknesses identified through case findings
  • Reduced financial loss exposure through stronger transaction monitoring and recovery analysis

Course modules

18 modules over 10 days

Participants can classify suspected fraud schemes and distinguish initial indicators from evidence.

  • Fraud triangle, fraud diamond and MICE motivations distinguished for case assessment
  • Occupational fraud schemes classified using the ACFE Fraud Tree
  • Management fraud, corruption and financial statement fraud compared systematically
  • Red flags separated from proof, suspicion and normal business variance
  • Fraud risk factors mapped to incentives, opportunities and rationalisations
  • Professional scepticism applied without presuming guilt or conducting witch hunts

Participants can establish a controlled investigation mandate, work programme and escalation structure.

  • Allegation intake records facts, sources, dates and immediate preservation needs
  • Engagement letters define scope, independence, privilege, fees and reporting lines
  • Materiality and case objectives set proportionate investigative work programmes
  • Conflict checks identify prior relationships, interests and potential witness exposure
  • Investigation plans assign hypotheses, milestones, resources, approvals and escalation triggers
  • Local counsel addresses jurisdiction, labour law, privacy and notification requirements

Participants can assess control design and operating failures that create fraud opportunities.

  • COSO Internal Control principles translated into process-level fraud control questions
  • Walkthroughs trace transaction initiation, approval, recording, custody and reconciliation
  • Segregation-of-duties matrices reveal incompatible access and approval combinations
  • Control design failures distinguished from operating effectiveness failures
  • Override controls tested through journal approvals, access logs and exception reports
  • Residual fraud risk rated using likelihood, impact and control evidence

Participants can identify reporting anomalies requiring further forensic examination.

  • Common-size analysis isolates unusual movements within income statements and balance sheets
  • Horizontal trend analysis tests multi-period revenue, margin and working-capital patterns
  • Cash-flow reconciliation exposes profits unsupported by operating cash generation
  • Ratio analysis assesses receivables, inventory, payables and liquidity anomalies
  • Notes to accounts examined for related parties, estimates and contingencies
  • IFRS accounting policies checked against transactions, disclosures and economic substance

Participants can test revenue recognition and receivables for manipulation or fictitious activity.

  • Revenue cut-off testing matches invoices, dispatch records, acceptances and credit notes
  • Channel stuffing indicators tested through returns, rebates and post-period collections
  • Contract terms inspected for side letters, variable consideration and acceptance clauses
  • Receivable ageing stratifies overdue balances, disputes, concentrations and collection patterns
  • Sales journals matched to customer master changes and manual entries
  • Fictitious customer testing identifies duplicate addresses, bank accounts and contacts

Participants can detect common fraud patterns in supplier, employee and purchasing records.

  • Duplicate-payment testing compares invoice numbers, amounts, dates and supplier identifiers
  • Vendor master analysis identifies shared bank accounts, addresses and tax numbers
  • Three-way matching tests purchase orders, goods receipts and invoice approvals
  • Payroll analytics detect ghost employees, duplicate accounts and unusual overtime
  • Expense claims screened for split purchases, weekend spending and round amounts
  • Procurement bid patterns tested for rotation, clustering and single-bid awards

Participants can trace cash movements and examine high-risk journal and related-party activity.

  • Bank reconciliations reconstructed from statements, ledgers, deposits and outstanding items
  • Cash lapping indicators traced through customer receipts and delayed account postings
  • Journal-entry testing targets late entries, round amounts and senior-user postings
  • Suspense accounts analysed for ageing, reversals and unsupported balances
  • Related-party transactions traced through ownership records, invoices and payment flows
  • Source-and-application schedules reconcile fund movements across linked accounts

Participants can prepare reliable financial data populations for forensic testing.

  • Data acquisition plan defines fields, formats, custodians, refreshes and access controls
  • Data dictionaries reconcile system fields, codes, date conventions and null values
  • Excel Power Query standardises extracts while preserving original source files
  • Sampling plans distinguish random, judgemental, stratified and targeted selections
  • Analytic populations reconciled to control totals before exception testing begins
  • Reproducible scripts document transformations, filters, joins and parameter choices

Participants can use targeted analytic tests to identify and prioritise suspicious transactions.

  • Benford's Law tested only after assessing data suitability and limitations
  • Duplicate detection uses exact, fuzzy and phonetic matching rules
  • Outlier analysis compares transaction values against peer groups and distributions
  • Sequence tests identify missing invoices, duplicate cheques and anomalous numbering
  • Network analysis maps connections among employees, vendors, accounts and addresses
  • Exception scoring prioritises records using risk indicators and investigative value

Participants can preserve, review and document electronic evidence with appropriate controls.

  • Digital evidence scope identifies devices, cloud sources, messaging and enterprise systems
  • Chain-of-custody logs record collection, handling, transfer, storage and access
  • Forensic imaging preserves original media using validated acquisition procedures
  • Metadata analysis establishes file creation, modification, access and author timelines
  • Keyword protocols combine custodians, date ranges, concepts and Boolean operators
  • Email threading reconstructs communication sequences while retaining original context

Participants can organise evidence into defensible working papers and finding support.

  • Evidence matrix links allegations, elements, sources, tests, findings and gaps
  • Document authenticity assessed through provenance, metadata, corroboration and alteration indicators
  • Corroboration distinguishes independent support from repeated unverified assertions
  • Working papers document procedures, population definitions, exceptions and conclusions
  • Chain-of-custody exceptions assessed for reliability, admissibility and remedial actions
  • Evidence disclosure schedules organise exhibits, references, dates and custodians

Participants can plan and conduct structured fact-finding interviews within an investigation.

  • PEACE interview model structures preparation, rapport, account, closure and evaluation
  • Cognitive interviewing obtains detail without introducing facts or confirmation bias
  • Question funnels move from open prompts to focused clarification
  • Interview plans sequence witnesses using information value and contamination risk
  • Contemporaneous notes separate verbatim statements, observations and investigator interpretations
  • Admission assessment tests plausibility against documents, timelines and independent evidence

Participants can recognise financial crime patterns requiring enhanced review or reporting.

  • Money-laundering stages distinguish placement, layering, integration and predicate offences
  • Customer due diligence records beneficial ownership, purpose, risk and expected activity
  • Transaction monitoring scenarios identify structuring, rapid movement and unusual counterparties
  • Sanctions screening distinguishes false positives, confirmed matches and escalation decisions
  • Suspicious activity narratives state facts, rationale, amounts, parties and dates
  • Financial intelligence requests preserve confidentiality and follow authorised reporting channels

Participants can investigate corruption indicators within third-party and procurement relationships.

  • Bribery risk assessment maps government touchpoints, intermediaries, gifts and tenders
  • Third-party due diligence verifies ownership, reputation, services and compensation
  • Red flags identify sham consulting, excessive commissions and offshore payments
  • Books-and-records testing connects payments, contracts, approvals and supporting deliverables
  • Facilitation payment claims examined against policy, local law and evidence
  • ISO 37001 control concepts inform anti-bribery procedures and remediation

Participants can calculate suspected loss and trace the movement of misappropriated funds.

  • Loss schedules separate actual loss, intended loss, recovery and consequential costs
  • But-for analysis estimates financial position absent the alleged misconduct
  • Tracing methods follow misappropriated funds through accounts, entities and assets
  • Prejudgment interest assumptions documented with rate, period and compounding basis
  • Scenario analysis states valuation uncertainties, alternative assumptions and sensitivity ranges
  • Damages calculations reconcile source records, methodologies, outputs and expert instructions

Participants can write clear, neutral and evidence-based forensic findings for decision-makers.

  • Investigation reports distinguish facts, inferences, opinions, limitations and recommendations
  • Executive summaries state allegation, scope, key findings, impact and next actions
  • Finding paragraphs connect evidence, analysis, conclusion and supporting exhibit references
  • Neutral language avoids legal conclusions beyond the investigator's authority
  • Visual timelines clarify transactions, communications, decisions and control failures
  • Quality review tests factual accuracy, consistency, confidentiality and evidential support

Participants can translate investigation findings into practical control and response actions.

  • Root-cause analysis separates individual misconduct from process and governance failures
  • Control remediation plans assign owners, actions, evidence and due dates
  • Disciplinary, recovery and disclosure decisions aligned with authorised governance processes
  • Fraud response playbooks define triage, preservation, investigation and communications
  • Key risk indicators monitor repeat schemes, overdue actions and control exceptions
  • Board reporting presents exposure, findings, remediation status and residual risk

Participants can build, review and present a complete forensic accounting case file supported by financial evidence.

  • Case intake converts allegations into scope, hypotheses, preservation and evidence priorities
  • Financial records reconciled into a defensible transaction chronology and loss schedule
  • Analytic exceptions assessed against documents, interviews and alternative explanations
  • Evidence matrix supports findings, limitations, remediation actions and reporting decisions
  • Peer review challenges methodology, calculations, language and evidential sufficiency
  • Oral presentation communicates findings to an audit committee audience

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Forensic investigation planning template
  2. Fraud risk and control assessment matrix
  3. Financial data analytics test library
  4. Evidence matrix and chain-of-custody log
  5. Transaction chronology and loss schedule model
  6. Forensic findings report and remediation plan

Who should attend

  • Internal Auditors — investigate control failures and suspected misconduct beyond routine audit testing
  • Forensic Accountants — strengthen evidence, analytics, loss calculation and reporting methods
  • Financial Controllers — identify manipulation risks within financial reporting, close processes and reconciliations
  • Compliance Managers — assess bribery, corruption, sanctions and money-laundering indicators
  • Risk Managers — design fraud response arrangements and targeted control remediation
  • Legal, Ethics and Investigation Officers — organise financial evidence for internal and external matters

Skills and tools covered

Fraud risk assessmentForensic data analyticsEvidence managementFinancial statement analysisInvestigative interviewingLoss quantification

Tools and standards

ACFE Fraud Tree, COSO Internal Control Framework, Benford's Law, ISO 37001

How the course runs

Training methodology

Teaching combines focused instructor briefings with realistic financial records, fraud scenarios, case analysis, group exercises, interview simulations and investigation-report reviews. Participants work through transaction populations, source documents, control evidence and competing explanations rather than relying on red flags alone. Trainers demonstrate each method before participants apply it to a case. Discussion covers judgement, evidence quality, confidentiality, escalation and reporting boundaries. Individual application planning helps participants adapt the course tools to their own investigation, audit, compliance or finance responsibilities.

Requirements and prerequisites

Participants should be comfortable reading financial statements, following transaction flows and using spreadsheets to review business data. Experience in accounting, audit, finance, compliance, risk, procurement, investigations or internal controls is expected. Familiarity with journal entries, reconciliations, invoices, purchase orders and bank statements will help participants work efficiently with the cases. Prior fraud investigation experience is not required. The course does not require programming, advanced statistics, legal qualification, specialist forensic software or prior knowledge of anti-money-laundering regulation.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should have working familiarity with financial records, transactions and spreadsheets. Accounting, audit, finance, compliance, risk or procurement experience is useful, but prior investigation experience is not required.

Participants should bring a laptop with spreadsheet software for data-review activities, whether attending in person or online. They may also bring a de-identified fraud, control or investigation issue from their workplace for application planning.

The course is intended for professionals responsible for reviewing financial records, investigating allegations, assessing controls or responding to financial crime risks. It is particularly relevant to internal audit, finance, compliance, risk, legal and investigation teams.

Internal audit courses focus on assurance planning and control evaluation, while anti-money-laundering courses focus primarily on customer, transaction and reporting obligations. This programme concentrates on building evidence from accounting records, digital sources, interviews and transaction analysis after a concern has been identified.

Participants can use the templates to scope allegations, preserve records, test transaction populations and document findings. The methods also strengthen fraud risk assessments, audit planning, control reviews and case escalation decisions.

Each day runs from 08:30 to 16:30 and provides approximately 6.5 contact hours. The first week establishes investigation, accounting analysis and data methods; the second week covers evidence, interviews, financial crime, reporting, remediation and the final case-file presentation.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.