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Citadel expands quant team hiring AI researchers

Citadel expands quant team hiring AI researchers

Citadel is widening its quantitative investment team and targeting researchers from artificial-intelligence labs, according to a Bloomberg report.

The firm currently employs about 180 financial researchers and data engineers, and expects headcount to rise at a “healthy” double-digit pace over the next year, said Navneet Arora, head of global quantitative strategies.

Arora noted that AI has not eliminated the need for human insight. “People can now effectively manage two, four, and in some cases even more processes. Humans are now also becoming ‘managers of machines’,” he said. “Those humans, unlike machines, are not easily replaced.”

For specialists in AI research, this shift means competing not only with tech giants but also with top hedge funds for roles that blend data science with finance.

Citadel continues to recruit recent university graduates while also courting staff from AI laboratories such as Google DeepMind. The goal is to attract individuals who can devise investment concepts and integrate AI systems into trading workflows.

According to Arora, the rise of AI reduces the emphasis on pure coding skills and raises the value of those who can generate ideas and steer automated processes.

The firm’s Tactical Trading fund, which blends fundamental equity analysis with quantitative methods, posted a 24.7% gain through August, per a source familiar with the fund.

The firm oversees roughly $76 billion across equities, fixed income and commodities, allocating “multi-billion dollars” to its quantitative strategies.

Arora said the additional hires will bolster the equities division and support new strategies focused on futures and volatility.

He explained that short-horizon tactics rely on large, readily available datasets, making their edge easier for rivals to copy. In contrast, longer-horizon approaches use scarcer data and more complex models, which can sustain advantages longer.

“The fixed costs of running the business have risen. Technology, talent, everything is more expensive,” Arora said. “Scale therefore matters more than ever, and I’ve encouraged my team to continue to think bigger and go bigger.”

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