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AI cuts finance analyst openings by nearly 80% in London, Bloomberg reports

AI adoption has slashed finance analyst job openings in London by nearly 80%, from over 350 to roughly 80 in four years, according to a Bloomberg report. Banks like Standard Chartered are cutting thousands of back-office roles, and global banks could eliminate 200,000 jobs in three to five years as AI reshapes the financial sector.

read2 min publishedJun 14, 2026

London's finance analyst vacancies plummeted from over 350 to roughly 80 in just four years, signaling a structural shift in how banks build their workforce.

Four years ago, London had more than 350 open positions for finance analysts. Today, that number sits around 80. That is not a cyclical dip. That is a profession being quietly hollowed out.

Bloomberg reported on June 14 that AI adoption is rapidly erasing white-collar roles across London’s financial sector, with finance analyst openings declining nearly 80% in four years.

The numbers behind the squeeze #

McKinsey found that UK online job listings for occupations with high AI exposure, including finance and technology roles, dropped 38% between May 2022 and May 2025. Roles with lower AI exposure saw a comparatively modest 21% decline over the same period.

Banks are not hiding the playbook #

Standard Chartered announced plans to cut approximately 7,800 back-office positions by 2030, representing over 15% of its support staff. CEO Bill Winters framed the reductions as a move to enhance operating efficiency rather than simple cost-cutting.

Bloomberg Intelligence estimated in a January 2025 report that global banks could eliminate roughly 200,000 jobs over the next three to five years as AI adoption accelerates.

A survey conducted in April 2026 found that half of UK executives anticipate AI will lead to job losses over the next decade.

Why this matters beyond the job market #

When banks cut analyst roles, they are not simply reducing costs. They are changing how information flows through financial markets. Junior analysts have historically served as the training ground for portfolio managers, risk officers, and eventually C-suite executives. Remove that pipeline, and you create a gap in institutional knowledge that AI cannot easily fill.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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