I've never seen a hiring spike quite like this. Not in my decade of tech recruitment. Since the European AI Act's implementation phases kicked in last winter, every major bank in the City has been hunting for the same unicorn: lawyers who genuinely understand artificial intelligence.
Talent wars aren't new in financial services, but this is different. The compliance teams I worked with during 2025 were mostly pulling from the same pool of regulatory specialists. Now? They're raiding tech companies, poaching from the AI ethics committees, and fighting over the handful of solicitors who've managed to get themselves certified in the new regulatory frameworks.
So what's a financial institution supposed to do? How do you build an AI legal team when everyone else wants the same people?
The Reality on the Ground
Let's talk money first, because that's what everyone asks about.
In London, specialist AI legal counsel roles are commanding base salaries between £115K-£170K for those with 5+ years of experience. The top end goes higher - much higher - for those with combined backgrounds in financial regulation and AI governance.
But money isn't solving the problem. You can't just throw cash at this one and expect results.
One hiring director I spoke with last month had been looking for their AI compliance lead for 14 weeks. Budget wasn't the issue - they'd been approved for a package worth £210K. The problem was finding someone who could actually do the job.
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What Financial Institutions Are Actually Looking For
The recruitment briefs crossing my desk show a distinct pattern. The ideal candidate typically needs:
- Strong foundation in financial services regulation (FCA/PRA frameworks)
- Demonstrable experience with the EU AI Act and UK AI governance regime
- Working knowledge of model risk management
- Ability to translate complex AI concepts for risk committees and boards
But there's a subtlety here that most job descriptions miss. Banks don't just need someone who understands the regulations - they need someone who can build processes that work at scale.
The financial institutions winning this talent war are the ones asking candidates about their experience designing governance frameworks, not just their knowledge of the regulations.
Assessment Approaches That Actually Work
The old interview playbook doesn't cut it anymore. Standard competency questions tell you nothing about whether someone can navigate the complexities of AI regulation in practice.
The smarter firms have shifted to case-based assessments. Presenting candidates with realistic scenarios - "Your trading algorithm has been flagged for potential bias. Walk us through your response process" - reveals far more than asking about their experience with specific regulations.
I've seen two particularly effective approaches:
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Collaborative workshops where candidates interact with data scientists and compliance staff to solve a real governance problem
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"Red team" exercises where candidates review existing AI systems for regulatory vulnerabilities
Both approaches test something critical: can this person translate between technical and legal domains?
Building Teams vs Hiring Individuals
Some of my most successful placements this year haven't been individual hires but team constructions. Smart banks are recognizing that the "unicorn" with perfect AI legal expertise might not exist - but you can build a complementary team.
This typically looks like:
- A legal lead with financial services regulatory background
- A technical translator with AI ethics experience
- A process/governance specialist who can operationalize requirements
The challenge is getting these different profiles to work together effectively. Different backgrounds mean different languages, priorities, and ways of working.
Does this mean you'll need to budget for three roles instead of one? Possibly. But it's still cheaper than the regulatory fines we've seen handed out since the FCA's updated AI risk framework came into effect.
Where To Find This Talent
Traditional recruitment channels are coming up short. LinkedIn searches for "AI legal counsel" return the same overworked professionals being chased by everyone else.
The institutions finding success are looking in unexpected places:
- Academic researchers who've been working on AI governance
- Technology lawyers who've pivoted to specialize in data ethics
- Risk professionals from tech companies with AI products
- Regulatory consultants who've led AI compliance projects
Thinking laterally about transferable skills matters more than finding someone with the exact job title you want.
Look, I know this market is tough. I've had clients call me in frustration after months of searching. But there's talent out there if you're willing to be creative about where you look and how you structure your team.
Retention Is The New Recruitment
Getting these specialists in the door is only half the battle. Keeping them is proving even harder.
I placed an AI governance specialist with a major bank in March. By June, they'd received four competing offers. The bank kept them, but only by completely restructuring the role to give them more influence over product development decisions.
The lesson? These professionals want impact, not just compliance responsibility. The ability to shape how AI is deployed - not just ensure it meets minimum regulatory requirements - is what keeps the best talent engaged.
In practical terms, this means:
- Direct reporting lines to senior leadership
- Budget authority for compliance tools and resources
- Input into product development processes
- Continuous professional development (the regulation keeps evolving, after all)
Most importantly, these specialists need to feel their expertise is valued. They've spent years developing specialized knowledge. If you treat them as box-tickers rather than strategic assets, they'll be gone before the ink on their contract is dry.
There's no simple fix to the AI legal talent shortage in financial services. But the institutions that approach this challenge strategically - focusing on teams rather than unicorns, assessment rather than credentials, and retention rather than recruitment - are pulling ahead.
What's your experience been with building AI governance capabilities? I'm curious how others are navigating these choppy waters.
Raj Patel is a tech recruitment specialist with a decade of experience in the London market. He helps financial institutions build technical teams for emerging regulatory challenges.
