Please be advised, I will not be providing a job description of a Fraud Auditor. Rather, the thought process that is necessary to find the right person, with the right skill set.
I know this is a good technical question, but I do not know if there is a good technical answer. With that said, my suggestion to the CAE’s of the world would be to look for someone with the “Passion for the subject knowledge of fraud risk.” The passion would be for both the science of fraud risk and the passion for the practical application of fraud auditing. I say this because, with any new profession, the person must have the passion to create, build, and polish the fraud audit approach. I am sure that this person will get pushback from the traditional auditor. I know I have.
This is the second of three blogs looking at the state of the auditing profession. In the first blog, we looked at what has changed as companies have grown and gone global. In this article, we’re considering the use of words and the significance of precision.
As business systems have grown more complex and moved into a digital world, they’ve created more opportunities not only for fraud but also for uncovering fraud. It is my contention that auditing should be the number one reason for exposing fraud. And that requires a shift in mindset as well as the right techniques.
There is an urgent question that I don’t think has been asked often enough: Is the conventional professional view of fraud risk broad enough to protect companies from both monetary and non-monetary impact associated with internal fraud?
In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss steps nine and ten:
In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss steps seven and eight:
Fraud Data Analytics: Selecting the Strategy
In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss step three:
In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss steps one and two.
