Traders work on the floor of the New York Stock Exchange shortly after the opening bell in New York April 12, 2016. Reuters/Lucas Jackson

Clinching a job on Wall Street soon may have as much to do with beating an algorithm as nailing the interview.

Goldman Sachs Group Inc, Morgan Stanley, Citigroup Inc and UBS Group AG are exploring the use of artificial intelligence software to judge applicants on traits - such as teamwork, curiosity and grit - that help in the workplace but don’t always show up on a resume or come through in an interview.

Banks are turning to the hiring software at a time when they are under pressure to cut costs and finding it difficult to lure and retain top talent. Bank executives hope that artificial intelligence will help them avoid the expense of problem hires and turnover, industry sources said.

“Up until this point, technology has only allowed you to find the best resume, but now it’s a way of truly understanding the people that are applying,” said Mark Newman, chief executive of Salt Lake City, Utah-based HireVue, a video-interviewing platform that uses artificial intelligence to screen applicants.

Several banks are in the early stages of adding artificial intelligence software to complement in-person interviews and other traditional hiring processes. The banks hope that the technology can help predict which employees will succeed at a given job by creating patterns around large amounts of data that the tests produce.

Seattle-based Koru Careers Inc makes one version of the technology, which Citi and other banks are using in pilot programs to sort out applicants. Other banks are experimenting with software created internally.

Koru begins by testing a client’s employees to identify traits that mark high performance, known as a corporate “fingerprint.” Then applicants take the same assessment, and the software identifies which candidates are best suited to that company. The tests can be taken online, at work or via mobile.

“It may be that what it takes to succeed at Morgan Stanley is different than what it takes to succeed at Goldman Sachs,” said Koru Chief Executive Kristen Hamilton.

Koru charges its employer clients an undisclosed flat fee for the fingerprint and a license fee for the testing that rises with the number of applicants who take it.

Applicants also can record a short video in which they talk about their defining qualities and career aspirations. Koru screens the videos for clients, looking not only at what applicants say, but also their delivery style, including body language and pace of speaking.

BAD HIRES RAISE COSTS

While Wall Street is not the first place the technology has been tried, it is not yet widespread.

The banks hope it will help them compete for recent college graduates who are attracted to Silicon Valley firms and hedge funds.

They also hope it will help them avoid hiring the wrong person, which can be expensive and can lead to costly mistakes and lost business opportunities, said bank executives and staffing consultants. Capital One Financial Corp estimates the cost of a bad hire can be as much as three times that employee’s salary.

The goal of hiring software is to avoid human pitfalls, such as overlooking potentially strong candidates who may not seem desirable at first glance, said Matt Doucette, director of global talent acquisition at Monster Worldwide Inc.

“The best salesperson usually isn’t the one peacocking, it’s the mousy person in the corner who is sharp and asks the right questions,” Doucette said. “But if that person interviewed at face value, they never would have been hired.”

Koru says its software decreases the number of bad hires by as much as 60 percent.

THE HUMAN ELEMENT

Some human resources experts say artificial intelligence tools and algorithms don’t always capture the best people for a given job and could actually perpetuate existing biases.

For example, if a company hired mostly white men who were the eldest children and left handed, an algorithm likely would predict such employees were the most successful, said Brian Sommer, a human resources industry analyst.

Follow us on Twitter - @akatechsolution / @smartdevicess