Financial services sits at the sharp end of the AI shift, and the labour-market numbers show why the ground is moving. Projections from the UK government's AI Skills for Life and Work report put the net change for AI-related occupations at roughly 696,000 jobs in the Automation Scenario and up to 1,072,000 in the Technological Opportunities Scenario. That is a wide spread, and it tells you something important: the future of these roles depends on the scenario you plan for.
The same report points to a large wave of replacement demand, rising from 3,077,000 to 3,193,000 jobs across those scenarios the government's AI skills projections. Even where automation absorbs tasks, people still leave, retire and move, and the roles still need filling. For lean finance teams, that means the question is not whether to hire, but what to hire for next.
The clearest signal is that AI-related work is becoming a category of its own, not a side project. With the net change in AI-related occupations ranging from approximately 696,000 to 1,072,000 jobs the UK government's labour-market projections, the demand concentrates around people who can direct and supervise AI, not just operate it. In a trading desk, a risk function or a treasury team, that looks like someone who designs the scenarios an agent runs, rather than someone who runs each test by hand.
The dynamic for lean teams is a split in the work. Agents can stress test a portfolio against thousands of market shocks in the time it takes to read this sentence. What they cannot do is decide which shocks matter, which assumptions are plausible and what a failing result means for capital, liquidity or a regulator. That judgement sits with people, which is exactly why scenario design is becoming a hiring priority.
Start with the problem, not the tool. A strong scenario designer blends domain knowledge (markets, credit, liquidity, conduct) with a feel for how models break. Test for that in the interview: give a real stress scenario and ask the person to critique the assumptions, spot the blind spots and tell you what they would test next. You are hiring for curiosity and judgement, not for how many frameworks they can name.
For a lean team, one well-chosen scenario designer can lift the whole function, because their framing shapes every test the agents run after them. That raises the cost of a poor hire and the reward of a strong one, so take the time to assess judgement properly rather than rushing to fill a seat.
When you need this kind of specialist, speed and precision both matter. We search a database of 15 million candidates, rank a shortlist in under 30 seconds, contact matched people in under one minute and can book an interview in under three minutes, so you move from brief to conversation quickly. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell Reed.ai what your scenario design role needs, and we will start the search today.
