Description
Forensic Accounting & AML Investigations with Excel Applications
Course Outline
Module 1: Foundations of Forensic Accounting and AML Investigations
📌 Key Topics:
- Overview of Forensic Accounting and AML Investigations
- Understanding Money Laundering: Process, Stages, and Typologies
- Financial Crimes & Fraudulent Schemes (Ponzi schemes, Shell companies, Smurfing)
- Legal and Regulatory Framework: FATF, AMLA, FinCEN, Basel III, USA PATRIOT Act
- Role of Forensic Accountants & Compliance Officers
🔹 Advanced Excel Functions Covered:
- Data Cleaning & Preparation: Remove duplicates, Text-to-Columns, Flash Fill
- Lookup Functions: VLOOKUP, XLOOKUP, INDEX-MATCH for tracing transactions
- Conditional Formatting: Identifying high-risk transactions
Module 2: Fraud Detection and Transaction Analysis
📌 Key Topics:
- Identifying Suspicious Transactions and Red Flags
- Bank Reconciliation & Unexplained Transactions
- Use of Financial Ratios in Fraud Detection
- KYC (Know Your Customer) and Enhanced Due Diligence (EDD)
- Case Study: Tracing Illicit Funds in Bank Transactions
🔹 Advanced Excel Functions Covered:
- Pivot Tables & Pivot Charts: Summarizing financial data for fraud patterns
- IF, AND, OR Functions: Detecting anomalies in financial transactions
- Text Functions: LEFT, RIGHT, MID, FIND for extracting hidden details in transaction records
- Advanced Filtering: Using slicers to analyze AML risk factors
Module 3: Data Analytics in AML Investigations
📌 Key Topics:
- Digital Forensics & Data Analytics in AML
- Use of Benford’s Law in fraud detection
- Transaction Monitoring & Pattern Recognition
- Identifying Structuring & Layering Techniques
- Case Study: Investigating a Money Laundering Case Using Data Analytics
🔹 Advanced Excel Functions Covered:
- Power Query: Importing and transforming financial datasets
- Statistical Analysis: STANDARD DEVIATION, AVERAGE, VAR.P for fraud analysis
- Trend Analysis: Forecasting and time-series analysis
- Random Sampling & Stratification: Using RAND(), RANDBETWEEN() for audit selection
Module 4: Investigative Techniques and Evidence Documentation
📌 Key Topics:
- Interviewing Techniques for Fraud Examiners
- Electronic Evidence Collection & Preservation
- Chain of Custody & Legal Documentation
- Writing Forensic Investigation Reports
- Case Study: How to Build a Strong AML Case
🔹 Advanced Excel Functions Covered:
- Power Pivot: Creating relational databases for evidence tracking
- Custom Reports with Data Models
- Macros & Automation: Speeding up forensic workflows
- Hyperlinks & Comments: Organizing investigation files efficiently
Module 5: Reporting, Compliance, and Risk Mitigation
📌 Key Topics:
- AML Compliance & Regulatory Reporting (SARs, CTRs, STRs)
- Developing Internal AML Control Systems
- Best Practices in Risk Mitigation
- Case Study: Lessons from High-Profile AML Investigations
- Course Wrap-up & Action Plan
🔹 Advanced Excel Functions Covered:
- Dashboard Creation: Using Charts & Conditional Formatting for Risk Reports
- Report Automation: Dynamic Tables & Templates for AML Compliance
- Power BI Introduction: Linking Excel with Power BI for real-time AML monitoring
Description
Course Objectives:
Forensic Accounting and Anti-Money Laundering Investigations with Application of Advanced Excel
By the end of this 5-day training, participants will be able to:
- Understand Forensic Accounting & AML Principles
- Explain the concepts, principles, and objectives of forensic accounting.
- Identify the stages of money laundering (Placement, Layering, and Integration).
- Recognize fraudulent financial transactions and money laundering typologies.
- Apply AML Compliance & Regulatory Requirements
- Understand global AML regulations (FATF, AMLA, FinCEN, Basel III, USA PATRIOT Act).
- Conduct Know Your Customer (KYC) and Enhanced Due Diligence (EDD) processes.
- Identify and report Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs).
- Detect and Investigate Financial Fraud
- Use forensic accounting techniques to analyze financial transactions.
- Identify red flags and suspicious patterns in banking and business transactions.
- Apply Benford’s Law and financial ratio analysis for fraud detection.
- Utilize Advanced Excel for Forensic Analysis
- Perform data cleaning, filtering, and validation of large financial datasets.
- Use Pivot Tables, VLOOKUP, INDEX-MATCH, and Power Query for transaction analysis.
- Apply statistical and trend analysis to detect anomalies in financial data.
- Automate forensic accounting tasks using Excel Macros and Power Pivot.
- Develop AML Risk Assessment & Reporting Skills
- Create risk-based AML assessment models using Advanced Excel.
- Generate AML investigation dashboards and compliance reports.
- Prepare forensic audit reports and case documentation for legal proceedings.
- Enhance Investigative Techniques and Fraud Prevention Strategies
- Utilize digital forensics and data analytics in AML investigations.
- Strengthen internal controls to prevent financial crime.
- Develop AML risk mitigation strategies for organizations.
- Build Practical Skills Through Case Studies & Simulations
- Analyze real-world AML investigation case studies.
- Conduct a mock forensic audit and AML compliance review.
- Develop a practical action plan for AML implementation in organizations.
General Notes
GENERAL NOTES
i. The clients have many options on where they would wish to have the training
ii. The client should communicate their preferred training venue at least seven days before the training date failure to which the training shall take place in Nairobi.
iii. This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
iii. Training manuals and additional reference materials are provided to the participants.
iv. Upon successful completion of this course, participants will be issued with a Chania finance consultancy certificate.
v. The onsite training fee covers tuition fees, training materials, tea at 10am, lunch, tea at 4pm, training venue and a certificate on completion. Accommodation and travel may be arranged for our participants upon request.
vi. The online training fee covers tuition fees, training materials, and a certificate on completion.
Available at the following Venues
- Nairobi
- Google Meet
Choose the date you would like to take the course
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