Fraud Training Curriculum
- Fraud risk identification
- Preparing the fraud risk assessment
- Integrating fraud testing into the audit program: The fraud scenario approach
- Fraud data analytics methodology: The fraud scenario approach
- Fraud auditing in core business systems: The fraud scenario approach
- Fraud prevention, detection and deterrence programs
- Conducting an internal fraud investigation
- Fraud risk identification
- Preparing the fraud risk assessment
- Integrating fraud testing into the audit program: The fraud scenario approach
- Fraud data analytics methodology: The fraud scenario approach
- Fraud auditing in core business systems: The fraud scenario approach
- Fraud prevention, detection and deterrence programs
- Conducting an internal fraud investigation
Fraud Data Analytics Training Seminars
Simply stated, the best audit program in the world will not detect fraud unless the audit sample includes a fraudulent transaction.
This fraud audit training module provides a methodology to create a data analytics program, proven data interrogations techniques which have identified fraud scenarios, and our experiences with using data mining to uncover fraud in core business functions. Courses one through four provide a detailed approach on all the considerations to build an effective fraud audit plan. Courses five through ten provide data interrogation techniques and real life experiences in using the fraud data analytics to uncover fraud scenarios.
Fraud Data Analytics Methodology Course Modules & Objectives
This course on analytics for fraud data is fundamental to the rest of the data analytics courses and will cover:
- What is fraud data analytics
- Using the fraud scenario approach
- Fraud data analytics methodology
- Three critical considerations for the fraud data analytics plan
- The false positive conundrum
- Axioms of fraud data analytics
CPE Hours: 2
Lecture time: 1 hour
Practical exercise time: 1 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum
Learning level: Basic
Field: Auditing
Delivery Method: Group Live
Learn about different data mining strategies and how to use the five critical data elements in your fraud audit. Course components include:
- Four strategies for fraud data analytics
- Understanding how fraud concealment impacts your plan
- Understanding how your strategy impacts the plan
- Pattern recognition and frequency analysis
- How to use the five critical data elements
CPE Hours: 4
Lecture time: 3 hours
Practical exercise time: 1 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum and What is Fraud Data Analytics learning module
Learning level: Intermediate
Field: Auditing
Delivery Method: Group Live
Which data should you be selecting and why? This course will cover:
- Ten steps to building a fraud data analytics plan
- Data issues: availability, reliability and usability
- Eight steps to write the interrogation routines
- Common mistakes in building a fraud data analytics plan
- Critical skills for fraud data analytics
CPE Hours: 2.5
Lecture time: 2 hours
Practical exercise time: 0.5 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum
Learning level: Intermediate
Field: Auditing
Delivery Method: Group Live
Data analytics must be considered in the audit planning stage, when you're defining the scope of the audit. This course will cover:
- Defining the scope of the fraud data analytics plan
- Ten questions to building the fraud data analytics plan
- Key work papers in data mining
- Creating the planning reports
CPE Hours: 1.5
Lecture time: 1 hour
Practical exercise time: 0.5 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum
Learning level: Basic
Field: Auditing
Delivery Method: Group Live
Shell companies are a common fraud scheme. In this course we will cover:
- Attributes of a shell company
- Identifying the key data
- How to build search routines
- Interrogate master file data
- Correlation to transactional data
CPE Hours: 2
Lecture time: 1 hour
Practical exercise time: 1 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum and What is Fraud Data Analytics learning module
Learning level: Advanced
Field: Auditing
Delivery Method: Group Live
Learn common presentations of fraudulent disbursements and how to find them with a no-nonsense analytics-based approach. This session will cover:
- False billing schemes
- Eight versions of the pass thru schemes
- Vendor over-billing schemes
- Disguised purchasing schemes
- Duplicate payment schemes
CPE Hours 3
Lecture time: Two hours
Practical exercise time: One hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum
Learning level: Advanced
Field: Auditing
Delivery Method: Group Live
Learn how to find corruption in procurement function. This course will cover:
- Attributes of facilitation payments
- How to use word searching to locate suspicious payments
- Hidden bribe payments or illegal gratuities
- Locating conflict of interests
CPE Hours: 3
Lecture time: 2 hours
Practical exercise time: 1 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum and What is Fraud Data Analytics learning module
Learning level: Intermediate
Field: Auditing
Delivery Method: Group Live
Company credit cards are another source for fraudulent transactions. In this course we will cover:
- Abuse vs. fraud
- Disguised personal expenses
- Adverse publicity expenses
- Locating hidden bribe payments
CPE Hours: 2
Lecture time: 1 hour
Practical exercise time: 1 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum and What is Fraud Data Analytics learning module
Learning level: Basic
Field: Auditing
Delivery Method: Group Live
This learning module will discuss common payroll fraud schemes such as:
- Ghost employee schemes
- Disguised compensation schemes
- Overtime fraud
- Payroll adjustments schemes
- Bonuses and commissions
- Theft of payroll payments
CPE Hours: 3
Lecture time: 2 hours
Practical exercise time: 1 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum and What is Fraud Data Analytics learning module
Learning level: Intermediate
Field: Auditing
Delivery Method: Group Live
This fraud data analytics course will cover:
- Searching for returns and adjustment schemes
- Locating accounts receivable lapping schemes
- Finding ghost or front customer schemes
- Theft of customer credit schemes
CPE Hours: 1.5
Lecture time: 1 hour
Practical exercise time: 0.5 hour
Advanced Preparation: None
Prerequisite: Fraud Risk curriculum and What is Fraud Data Analytics learning module
Learning level: Intermediate
Field: Auditing
Delivery Method: Group Live
Other Fraud Training Curriculum:
- Fraud risk identification
- Preparing the fraud risk assessment
- Integrating fraud testing into the audit program: The fraud scenario approach
- Fraud data analytics methodology: The fraud scenario approach
- Fraud auditing in core business systems: The fraud scenario approach
- Fraud prevention, detection and deterrence programs
- Conducting an internal fraud investigation
Fraud Auditing, Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education (CPE) on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.