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Goldman Sachs automated trading replaces 600 traders with 200 engineers

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Average compensation for staff in sales, trading, and research at the 12 largest global investment banks, of which Goldman is one, is $500,000 in salary and bonus, according to Coalition. Seventy-five percent of Wall Street compensation goes to these highly paid “front end” employees, says Amrit Shahani, head of research at Coalition.

For the highly paid who remain, there is a growing income spread that mirrors the broader economy, says Babson College professor Tom Davenport. “The pay of the average managing director at Goldman will probably get even bigger, as there are fewer lower-level people to share the profits with,” he says.

Complex trading algorithms, some with machine-learning capabilities, first replaced trades where the price of what’s being sold was easy to determine on the market, including the stocks traded by Goldman’s old 600.

Now areas of trading like currencies and futures, which are not traded on a stock exchange like the New York Stock Exchange but rather have prices that fluctuate, are coming in for more automation as well. To execute these trades, algorithms are being designed to emulate as closely as possible what a human trader would do, explains Coalition’s Shahani.

Goldman Sachs has already begun to automate currency trading, and has found consistently that four traders can be replaced by one computer engineer, Chavez said at the Harvard conference. Some 9,000 people, about one-third of Goldman’s staff, are computer engineers.

Next, Chavez said, will be the automation of investment banking tasks, work that traditionally has been focused on human skills like salesmanship and building relationships. Though those “rainmakers” won’t be replaced entirely, Goldman has already mapped 146 distinct steps taken in any initial public offering of stock, and many are “begging to be automated,” he said.

Reducing the number of investment bankers would be a great cost savings for the firm. Investment bankers working on corporate mergers and acquisitions at large banks like Goldman make on average $700,000 a year, according to Coalition, and in a good year they can earn far more.

Chavez himself is an example of the rising role of technology at Goldman Sachs. It’s his expertise in risk that makes him suited to the task of CFO, a role more typically held by accountants, Chavez told analysts on a recent Goldman Sachs earnings call.

“Everything we do is underpinned by math and a lot of software,” he told the Harvard audience in January.

Goldman’s new consumer lending platform, Marcus, aimed at consolidation of credit card balances, is entirely run by software, with no human intervention, Chavez said. It was nurtured like a small startup within the firm and launched in just 12 months, he said. It’s a model Goldman is continuing, housing groups in “bubbles,” some on the now-empty trading spaces in Goldman’s New York headquarters: “Those 600 traders, there is a lot of space where they used to sit,” he said.


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