Certificate in Forensic Accounting and Fraud Investigation E - Learning

Description

Today's business environment has become highly unpredictable as fraudsters have become more devious. With the advancement of technology, the risk of various scams, including misbehavior, money laundering, bribery, and kick-back schemes, has also increased. These vulnerabilities pose a substantial threat to the financial, operational and brand value of businesses. As a result, it becomes imperative to have the necessary knowledge of methods used by fraudsters and the skills to prevent such fraud.

LearninGT by Grant Thornton Bahrain is pleased to launch its certification called ‘Forensic Accounting and Fraud Investigation' certification to help participants understand the fraudster psychology for preventing financial frauds.

Learning outcome

• Understand the mechanics of forensic accounting and use this knowledge effectively to avert, detect, investigate, and report financial frauds
• Learn the types and methods of fraud used by fraudsters to conceal their crimes
• Analyse different types of tools and mechanisms involved in detecting fraud
• Understand Indian laws and legislature for combatting fraud
• Examine big data analytics through ERP/CRP
• Find outliers in unstructured data
• Making informed and insightful business decisions

Programme deliverables

• 48 hours of learning content
• Access to Grant Thornton-LMS for one year
• Essential course material
• Case studies
• Quiz and final assessment
• Certificate of completion post-assessment

Features of E-learning and LMS

• Two-way communication
• Query resolution from an expert within 24 hours
• Flexibility – learn anytime from anywhere
• Offer remote learners an engaging learning experience
• Cost-effective
• Accessible on mobile phones and tablets

Who should attend

• Graduates
• Chartered Accountants
• F & A professionals
• Internal and external auditors
• Banking and NBFC professionals
• Consultants

Programme coverage

• Introduction to fraud
  • What is fraud?
  • What is the fraud triangle?
  • Understanding fraudster psychology
  • Different types of fraud
• Fundamentals of forensics
  • Forensic audit vs. forensic accounting
  • Audit vs. investigation
  • Auditor vs. investigator
• Accounting concepts (Module 1)
  • What is financial statement fraud?
  • Why is financial statement fraud committed?
  • Case studies: Financial statement frauds
• Accounting concepts (Module 2)
  • Financial statement fraud schemes
  • What red flags are associated with financial statement fraud?
  • Detection of fraudulent financial statement schemes
  • Financial statement analysis
• Types of fraud schemes
  • Procurement fraud
  • Consumer frauds (includes ponzi and pyramid schemes along with telemarketing fraud)
  • Cyber frauds (digital/internet fraud)
  • Payment frauds
  • Asset misappropriation fraud schemes
  • Financial institution fraud
  • Healthcare fraud
  • Insurance fraud
  • Securities fraud
  • Bribery and corruption
• Investigation techniques
  • Planning and conducting a fraud examination
  • Analysing documents
  • Interview theory and application
  • Interviewing suspects and signed statements
  • Covert examinations
  • Sources of information
  • Data analysis and reporting tools
  • Digital forensics
  • Tracing illicit transactions
  • Report writing
• Fraud prevention and deterrence
  • White-collar crime
  • Corporate governance
  • Management’s fraud-related responsibilities
  • Auditor’s fraud-related responsibilities
  • Fraud prevention programmes
  • Fraud risk assessment
• Fraud laws in India
  • Indian laws to combat fraud
  • Information Technology Act, 2000
  • Companies Act, 2013
  • PMLA 2002
  • Indian Evidence Act
  • Indian Penal Code (only relevant concepts)
  • Civil Procedure Code (only relevant concepts)
• International incentives against fraud
  • FCPA
  • UK Bribery
  • AML and FATF Regulations
  • OECD
  • UN Convention against corruption
• CAAT techniques
  • Gap detection
  • Stratification
  • Benford’s law
  • Theory of relative size factor
  • Stratified sampling
  • Sorting and filtering
  • Duplicate detection
  • Compliance verification
  • Extraction
  • Pivot table
  • Predictive analysis
  • Textual analysis

Cancellation and refund policy

The refund policy in case of withdrawal of nomination would work as follows:-

• A refund of 50% of the fee would be provided for cancellation requests received up to five working days before the training start date
• Participants who cancel in less than five working days, or do not show up on the training date are liable to pay the full course fee and would not be entitled to refunds

Cancellations must be made via emails only. However desirous participants can be accommodated in future batches of the programme, without paying an extra amount. It is requested that the willingness to attend any future programme should be communicated at the earliest convenience.