Lending teams are hiring into a cautious market with sharp pockets of demand. Across 2025, businesses took a measured approach to hiring, but there were clear demand hotspots for specialist skills including AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook for 2026. For a lender building its first agent operations function, that matters: you are competing for exactly the people everyone else wants.
The appetite for AI talent is intense. Demand for AI skills rose nearly 200 percent in a year, with London accounting for 80 percent of AI-related job postings and nearly two-thirds of all technology vacancies in the UK Accenture data reported by The Register. If your lender sits outside the capital, you will need a plan to attract and keep the people who can run agents safely.
The wider skills gap is real, too. A comparison with earlier cyber data showed 70 percent of cyber firms reported at least one hard-to-fill vacancy the AI Labour Market Survey 2025. Agent operations sits right at the overlap of AI, data and security, so expect the same pressure.
Think of this role as the person who keeps your AI agents running, accountable and compliant. In a lender, that means owning the workflows where agents touch credit decisions, onboarding, affordability checks and customer servicing, and making sure every action is logged, explainable and auditable for regulators.
The skill level is senior. In financial services, recruitment is generally for Regulatory Qualification Framework (RQF) 6+ roles rather than RQF 3 to 5 the GOV.UK Temporary Shortage List Stage 2 report. A degree-level or equivalent professional background is the norm, which tells you this is not an entry-level seat. You want someone who can sit between your engineers, your risk and compliance teams, and your operations floor, and speak all three languages.
Day to day, they design and monitor agent workflows, set guardrails, review edge cases that agents escalate, measure performance, and feed problems back to the people building the models. In a regulated lender, judgement about when a human must step in is the core of the job.
Prioritise the mix over any single credential. You want someone comfortable with data and AI tooling, who also understands lending rules and the Consumer Duty expectations that shape how you treat customers. The ability to read a workflow, spot where an agent could go wrong, and design the control around it is worth more than any one certificate.
Be open on background. Routes into AI roles are widening fast: apprenticeships have risen from 3 percent of AI hires in 2020 to 19 percent in 2025 the GOV.UK AI Labour Market Survey 2025. That means strong candidates may come from operations, risk or apprenticeship routes rather than a classic engineering path, so write your advert for capability, not just a CV checklist.
Start by being specific about the problem the hire will own, not the title. Describe the lending workflows they will run, the regulatory lines they must hold, and how success is measured. Vague adverts attract vague applications, and in a competitive market you cannot afford the noise.
Build your team, not just one hire. The national direction is towards broad upskilling: the UK government announced a partnership to upskill 7.5 million UK workers in essential AI skills by 2030, equivalent to around 20 percent of the UK workforce techUK. Your first agent operations hire should be someone who can help lift the skills of the people around them, so capacity to teach and document matters.
Move quickly once you find the right person. Specialist AI and data talent gets multiple offers, so a slow process loses you the strongest people. Set your interview stages up front, keep feedback honest and fast, and be ready to decide.
When you are ready to hire, we can move at the speed this market demands. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost, through Reed.ai. If you are building your first agent operations function inside a lender, tell us what good looks like and let us bring you the shortlist.
