Rogo poaches JPMorgan bankers to build AI finance models
AI tools are luring young bankers from top Wall Street firms to startups like Rogo, where they build AI models for finance rather than working in traditional banking roles. This shift is driven by faโฆ
AI tools like Rogo are pulling young bankers from JPMorgan, Goldman Sachs and Morgan Stanley into startups that build AI for finance instead of working in traditional banking.
The exodus is accelerating because front-office jobs on Wall Street now look less like the arcades of the 1980s and more like the back offices of the 1950s: traders spend hours moving data between Excel and Bloomberg terminals while AI automates the analysis that used to justify eight-figure bonuses. The past five years have seen a ten-fold increase in hedge funds and asset managers deploying large-language models for everything from earnings-call sentiment scoring to instant regulatory filing checks. That demand, in turn, has created a market for niche startups that hire former analysts to train models on bespoke financial datasets. Rogo, founded in 2022, now has 30 ex-bankers on its payroll and is raising a $30 million Series B at a $300 million valuation.
Exit interviews show the bankers are chasing faster career progression and ownership stakes they could never get at a bulge-bracket firm. A 26-year-old former Goldman Sachs leveraged-finance associate who joined Rogo last month said his starting equity was worth more than his entire signing bonus on Wall Street. The shift is also bringing in non-finance majors: Rogoโs engineering team is now 40 percent physics PhDs who never opened a Bloomberg terminal in their lives. Banks are reacting by offering internal AI academies, but the best talent keeps leaving because the startups move fasterโone Rogo employee shipped a model that predicts LBO covenants in two weeks; the same project would have taken six months inside a bank.
Next up is the talent war for AI-native quants. Firms like Citadel and Two Sigma are quietly setting up โAI guildsโ that let staffers spend 20 percent of their time on open-source projects, hoping to keep them from jumping to startups. The real stakes are higher: if the next generation of trading algorithms is built by people who have never traded, Wall Streetโs cultureโand its compensation modelโcould flip from โeat what you killโ to โown what you build.โ
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