Wall Street Journal: The Million-Dollar Talent War: Wall Street and Silicon Valley Compete for 20-Something 'Math Geniuses'

For those obsessed with mathematics, the present moment is unprecedented. Faced with intense competition from artificial intelligence (AI) companies, top quantitative trading firms are offering six-figure salaries to recent undergraduate and doctoral graduates in their pursuit of the brightest and most talented minds.

Quantitative firms rely on complex mathematical models to devise trading strategies. For years, they have attracted top young talent with compensation packages far exceeding what major banks can offer. Now, the AI boom is pushing these salary figures to new heights.

Matt Stabile, founder of New York-based recruitment firm Stabile Search, said that just a few years ago, earning close to seven figures right out of school was rare. "But now, people don't even blink at $1 million," he said.

"The turning point was around the time OpenAI emerged," Stabile added. "That's when the competition truly heated up."

The skills required to train large language models have long overlapped with those in quantitative finance. In recent years, as trading firms increasingly turn to machine learning and AI to drive trading, this connection has deepened. Today, AI labs like OpenAI and Anthropic are competing directly with Wall Street for a tiny pool of mathematically gifted undergraduates and PhDs.

This competition poses a challenge for quantitative firms. To maintain the trading edge that has set them apart in the financial world, these companies are striving to recruit the next generation of mathematical prodigies.

A single star employee's algorithm can generate hundreds of millions of dollars in profit—this is the secret behind the massive profits these firms have reaped in recent years. In the first quarter of 2026, Jane Street achieved a record profit of $10.3 billion. Despite having far fewer employees than Goldman Sachs and Morgan Stanley, this profit is nearly double the combined earnings of the two investment banks.

This profitability has enabled top quantitative firms to compete with tech giants for rising talent. Andrew Lai, who pursued a PhD in computer science at MIT with a focus on machine learning, interned at Microsoft and Nvidia, conducting deep learning research. He later interned at Optiver, a leading quantitative firm.

"I definitely had options," said Lai, who now works full-time at Optiver.

He prefers the quantitative field over others because it allows him to see the impact of his research more quickly. Lai also said the compensation here exceeds what he could earn elsewhere. Besides the nature of the work, pay is his second most important consideration.

He revealed that about one-third of his PhD lab mates ended up in quantitative finance, with a similar proportion going into the tech industry.

"Demand for top talent has reached unprecedented levels, creating real competitive pressure on compensation," said Charlie Whitmer, Chief Operating Officer of Optiver US. "As the talent war intensifies, prices naturally go up."

Of course, top firms typically anchor standard entry-level salaries between $350,000 and $500,000. But higher starting salaries are increasingly common, and even the lowest tiers rise quickly. After a few years, breaking the $1 million annual salary mark is routine.

Kevin Cassata, founder of Karbon Agency, a firm specializing in executive search for quantitative finance, said the current hiring atmosphere resembles a bidding war for professional athletes.

To prevent star summer interns from entering the open job market, portfolio managers are bypassing standard pay bands and offering premium salaries to lock them down early.

"They're interning under an extremely successful person on a highly profitable trading desk, and that manager wants to secure them immediately, keeping them out of the talent pool," Cassata said. "They'll just say, 'Okay, here's your full-time offer—$700,000 a year.'"

Cassata said he's even seen entry-level offers as high as $1.5 million in rare cases.

In 2021, Daniel Wu graduated from Stanford University with a degree in computer science. He interviewed at several AI labs but ultimately joined a quantitative firm as a researcher.

"Compensation was a major factor," he said. "At the time, the financial package from quant firms was the most competitive."

Today, Wu believes the situation has changed. Most of his peers now prefer offers from companies like Anthropic or OpenAI, drawn by the prospect of shaping the future of the hottest new technologies.

As competition intensifies, trading firms are trying to lock in young talent earlier.

Optiver is expanding its summer internship program, with 70% of its recent graduate hires now coming from this pipeline. The company ultimately plans to fill all entry-level positions through this route. By evaluating students in real work settings, it can extend full-time offers to promising candidates a year or more before graduation.

Laura Zhang first learned about quantitative trading firms at a high school math competition they sponsored. Company representatives handed out branded water bottles and T-shirts. Later, at a math summer camp she attended, traders appeared again, hosting events and giving talks.

Now studying mathematics and computer science at MIT, Zhang said seeing these companies aggressively recruit her and her peers made her want to work in quantitative finance after graduation. These firms not only visit campuses but also fly students to their offices for early career programs, allowing them to shadow employees and experience real work.

"You really get firsthand experience," Zhang said. "Not many other industries do this."

To win over this ultra-high-IQ crowd, these firms are leaning into geek culture. Optiver sponsors chess grandmasters and hosts an annual championship, while its competitor Qube Research & Technologies holds internal Rubik's Cube competitions.

But these sky-high salaries also carry risks, potentially pulling talent away from other fields that heavily rely on mathematics.

At Oxford University's Mathematical Institute, most new PhD students begin their studies with ambitions of becoming top academics. However, summer internships at quantitative trading firms often alter their career paths. These firms typically offer interns over $30,000 per month.

"Once they've experienced working at these firms and seen how much money they can make, most prefer to go into industry," said Alvaro Cartea, a mathematics professor at Oxford and director of the Oxford-Man Institute of Quantitative Finance, who currently advises math PhD students.

He said students entering quantitative finance typically receive offers ranging from $300,000 to $1 million. Those with large language model skills often receive offers at the upper end of that range.

"I just want to say, the temptation is simply too great," Cartea said.