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The constraint in junior banking is time per analyst head: every piece of client-facing work passes through a junior layer of modeling and documentation before it reaches a decision-maker, and junior hours are the primary driver of the team's cost base.
AI stands to compress that throughput, and UBS, the Swiss bank, is now building that expectation into its hiring bar.
Graduates and interns hoping to join must demonstrate they can use artificial intelligence to improve outcomes and efficiency.
Where the requirement sits in the hiring stack Financial modeling and market research have long consumed analyst hours at scale, and AI tooling has shown the capacity to compress both cycles.
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