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How Secure Any Job is Predicted by Personal Job Security Score

Category: Business
Published: 06/09/2008, 09:59
Editor: Catalin Buda

Its next generation Job Security Score in response to a growing need among individuals to know how secure their job is has been launched by a Delaware based risk analytics company, Scorelogix. Using a patent-pending statistical model, job Security Score, or JSS, predicts an individual’s job and income loss risk.

Scorelogix, by making personal JSS available through the internet, intends to bring the power of its award-winning, patent pending computer model into the hands of every individual in the American workforce. The score computes an individual's ranking relative to the rest of the US workforce and tells an individual how likely they are to have their job available to them over the next twelve months.

Ph.D., Director of Business Development at Scorelogix, David Watral, declared: “The average person in the US workforce is now only a click away from knowing how secure his or her job really is”. “For most of us, financial security depends on job security. In these uncertain times, people need this kind of information” says Dr. Watral.

The JSS does not predict whether an individual will lose their job due to personal incompetence or other factors, which only account for a small percentage of all job losses as noted by the company. The economy is the biggest driver of job losses. Different people in the workforce are impacted by a slow-down or recession in different ways and some jobs at a higher risk than others.

The disparate impact economy has on jobs and their security prospects is captured by Scorelogix’s Job Security Score, and it predicts which jobs are the most vulnerable over the course of a twelve month period and which are more secure.


Job Security Score is based on a rigorous analysis of hundreds of variables tracked by Scorelogix which impact the job market on a day to day basis. The Scorelogix JSS, by using a sophisticated risk model and focusing on factors which have the biggest impact on jobs, is able to make job security predictions that are 85% accurate.


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