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Wall Street Banks Poach Rivals' Bankers for AI Coverage Teams

UBS has hired a JPMorgan banker identified as Su to help ramp up its artificial-intelligence banking efforts, according to an exclusive report from The Information. Neither bank has publicly disclosed Su's full name, title, or start date.

The hire adds to a run of AI-focused recruiting at UBS, which named JPMorgan veteran Daniele Magazzeni as its first chief AI officer, effective Jan. 1, 2026. It also fits a broader pattern across Wall Street: banks are pulling AI talent directly from rivals to build out specialized teams rather than growing them from within.

Magazzeni joined UBS from JPMorgan Chase, where he most recently served as chief analytics officer for the bank's EMEA region and its commercial and investment bank, according to UBS's announcement. He now reports to Mike Dargan, UBS's group chief operations and technology officer, and is tasked with advancing both internal and client-facing AI capabilities, Banking Dive reported.

JPMorgan itself has signaled it expects the mix of banking jobs to shift. CEO Jamie Dimon told Bloomberg Television in May, during an interview at the bank's China Summit in Shanghai, that JPMorgan would be "hiring more AI people and fewer bankers in certain categories" as the technology takes over more analytical work, according to Yahoo Finance's report on the remarks.

Rival banks are making comparable bets. Wells Fargo named former Amazon Web Services executive Faraz Shafiq as head of AI products and solutions, with a Feb. 9 start date, according to Banking Dive. Shafiq, who reports to Wells Fargo's head of AI, Saul Van Beurden, previously led AI innovation at AWS and was recruited in part for experience "scaling enterprise platforms."

What this means for job seekers weighing finance or AI-specialist roles

For candidates eyeing finance careers, these hires signal what banks are prioritizing right now: not AI credentials alone, and not banking experience alone, but people who can operate at the intersection of both. Magazzeni and, apparently, Su were recruited for the ability to sit inside a bank's existing deal or analytics infrastructure while pushing AI adoption forward — a profile that favors mid-career professionals with domain expertise over entry-level AI generalists.

That should matter most to junior bankers. Dimon's comments point toward fewer traditional banker roles "in certain categories" as AI absorbs repetitive analytical work, which suggests the safer lateral move inside a bank right now is toward roles that pair existing coverage relationships with technical fluency, rather than staying in a purely execution-focused seat. For candidates outside banking with AI or data backgrounds, these hires also show a new entry point into financial services — but banks are filling it by poaching proven operators from named rivals, not through open searches, so a track record at a comparable institution still carries real weight. Anyone considering this kind of pivot should start by getting deliberate about how to choose a career path, since the AI-coverage lane rewards a specific, provable specialization rather than a general list of AI skills.