Artificial Intelligence Is Superseding Well-Paying Wall Street Jobs

We’ve been told that there is nothing to worry about artificial intelligence, robots and technology. New technologies will only replace mundane, repetitive jobs and free up workers to do more meaningful work, claims the media and top management consulting firms.

Last week, the House Financial Services Committee’s Task Force on Artificial Intelligence conducted a meeting with university academics and Wall Street financial services professionals to discuss the impact of AI on trading, robo-advisory, market surveillance and other activities within the financial services sector. To set the tone, the report by Wells Fargo predicting 200,000 banking jobs in the U.S. will be lost over the next decade—due to the introduction of new technologies—was cited by the chairman of the AI Task Force, Rep. Bill Foster (D-Ill).

According to Marcos Lopez de Prado, the former head of machine learning at AQR Capital Management, algorithms in electronic markets have already automated the jobs once dominated by thousands of traders.

Look around any trading floor today and you’ll only hear a slight hum and see the flickering lights of the Bloomberg terminals and computer screens. Only a short while ago, you would have heard the the vibrant, rambunctious atmosphere of sales and traders crying out to customers and counterparts. When you see footage on cable news about the stock market, they’ll usually show a busy, open-outcry market on the floor of the New York Stock Exchange. It’s really a Potemkin village. The cameras shoot where there are some live traders and support staff herded into one small area. In reality, the New York Stock Exchange floor is devoid of humans and runs primarily on technology conducting the electronic trading activities.

Lopez de Prado, who is now a Cornell Universityprofessor, testified in Washington on the adverse impact of artificial intelligence on capital markets and jobs. He spoke of the algorithms automating the jobs of traders and displacing thousands of people. Lopez de Prado told the U.S. House Committee on Financial Services, “Financial machine learning creates a number of challenges for the 6.14 million people employed in the finance and insurance industry, many of whom will lose their jobs—not necessarily because they are replaced by machines, but because they are not trained to work alongside algorithms.”

Investment banks, such as Goldman Sachs, now seek people who have the math, technology, software, coding, data analytics and related skills to work along with electronic trading. The need for real-life traders are done and over with. It used to be a fantastic and well-paying job to be a trader—not any longer! There was a time when street kids from the New York City boroughs of Queens and Brooklyn could get an in on the trading floor from a father, family friend or relative. No college degrees were required. It was a rough and tumble place. If they had a knack for trading, the stomach for taking risks and a strong desire to make money, they could—and did—earn large incomes. The doors to that opportunity have now closed due to the ascension of algo-driven trading. The working-class traders are no longer welcome, but the door remains wide open for Ivy-League Ph.D.s who write the codes.

Compliance people run the risk of being replaced too. “As bad actors become more sophisticated, it is vital that financial regulators have the funding resources, technological capacity and access to AI and automated technologies to be a strong and effective cop on the beat,” said Martina Rejsjö, head of Nasdaq Surveillance North America Equities.

Nasdaq, a tech-driven trading platform, has an associated regulatory body that offers over 40 different algorithms, using 35,000 parameters, to spot possible market abuse and manipulation in real time. “The massive and, in many cases, exponential growth in market data is a significant challenge for surveillance professionals,” Rejsjö said. “Market abuse attempts have become more sophisticated, putting more pressure on surveillance teams to find the proverbial needle in the data haystack.” In layman’s terms, she believes that the future is in tech overseeing trading activities, as the human eye is unable to keep up with the rapid-fire, sophisticated global trading dominated by algorithms.

When people say not to worry, that’s the precise time to worry. Companies—whether they are McDonald’s, introducing self-serve kiosks and firing hourly workers to cut costs, or top-tier investment banks that rely on software instead of traders to make million-dollar bets on the stock market—will continue to implement technology and downsize people in an effort to enhance profits and cut down on expenses. This trend will be hard to stop and have serious future consequences for the workers at all levels and salaries.

All Rights Reserved for Jack Kelly

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