Anti-Fraud Analysis of Financial Statements

Course description

Course Duration: 2 hours

CPE credit: 3

Course level: Basic/Adapted to company needs

Prerequisite: none

Anti-fraud financial statement analysis is a process that aims to detect any signs of fraud in the accounting and financial information of a company. This can be done either by in-house professionals or by external experts.

In an anti-fraud balance sheet analysis, various elements of the balance sheet, such as the income statement, the cash flow statement and the balance sheet, are examined in order to identify any anomalies or inconsistencies that may indicate the presence of fraud.

Some of the most commonly used anti-fraud techniques include ratio analysis, trend analysis, benchmarking and comparison with the performance of other companies. In addition, data mining and big data analysis techniques can also be used to identify suspicious patterns or trends.

It is important to emphasise that anti-fraud budget analysis does not guarantee the detection of all fraud, but it can help to identify possible warning signs and prevent fraud in the future.

Who should participate:

• Company owners and managers
• Back office and front office staff
• Application Management staff
• Internal and external auditors, CPAs and CAs
• Professionals, teachers and students interested in the anti-fraud sector
• Certified Fraud Examiners and other anti-fraud specialists

Course delivery

Senapa can organise private courses for companies with a customised virtual or in-house meeting programme; it is also possible to participate on a one-to-one basis with a customised individual programme.