Hiring for disclosure review in agent-assisted banks

To hire well for disclosure review in agent-assisted banks, define the regulatory judgement the role needs, test for it directly, and build a process where people validate what AI agents surface rather than compete with them.
Author

Wajahat Abbasi

Job Title

Lead Developer

What does the financial-services hiring market look like today?

Financial services is hiring for depth, not volume. Recent government analysis of sector shortages found that recruitment in financial services was generally for Regulatory Qualification Framework (RQF) 6+ roles, rather than RQF 3-5 the GOV.UK Temporary Shortage List: Stage 2 report (2026). In plain terms, RQF 6 sits at degree level, so the demand is concentrated at the more senior, more qualified end of the market.

That matters for disclosure review. Reviewing disclosures, the information a bank shares with regulators, customers or counterparties, is not clerical work. It calls for people who can read a situation, weigh regulatory expectations and make a defensible call. The market is already pulling in that direction, which means the people you want are in demand elsewhere too.

How do disclosure review roles change when AI agents do the first pass?

Agent-assisted banks are reshaping what a disclosure reviewer actually does day to day. When an AI agent handles the first read, flags anomalies and drafts a summary, the human role shifts from finding issues to judging them. The work becomes less about volume processing and more about exception handling, context and sign-off.

This fits the wider market signal. With demand skewed towards RQF 6+ roles in financial services the GOV.UK Temporary Shortage List: Stage 2 report (2026), the people who thrive in agent-assisted teams tend to be the ones who can challenge a machine's output, not just repeat it. You are hiring a decision-maker and a check on the system, not a second pair of hands for the same task.

Three dynamics define these roles now:

  • Judgement over throughput: the reviewer owns the decision the agent cannot own.
  • Explainability: they need to say why a disclosure is or is not compliant, in writing, for an audit trail.
  • Collaboration with the tool: they trust the agent where it is strong and override it where it is weak.

How do you hire well for disclosure review in an agent-assisted bank?

Start with the decision, not the task list. Write down the specific regulatory judgements this person will make, then design your assessment around those judgements. A short, realistic exercise where a candidate reviews a flawed disclosure and explains their reasoning tells you far more than a qualification line on a CV.

Given the sector's tilt towards RQF 6+ roles the GOV.UK Temporary Shortage List: Stage 2 report (2026), look for proven regulatory literacy, but weight it against the ability to work alongside an AI agent. Ask how someone would react to a confident but wrong flag from a tool. Ask how they would document an override. These questions surface the exact skills an agent-assisted workflow depends on.

A few practical steps:

  • Define the role around exception handling and sign-off, not first-pass review.
  • Test reasoning with a worked disclosure scenario, not a quiz.
  • Assess comfort with AI tools: trust, challenge and clear documentation.
  • Move quickly, because people with this profile are in demand across the sector.

Where do we fit in hiring for disclosure review?

We built Reed.ai to help banks reach this exact profile faster. We search a database of 15 million candidates, rank a shortlist and manage recruitment end to end, so your compliance leads spend their time assessing judgement rather than sifting CVs. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell us what good looks like and we will start shortlisting today.

Sources

Wajahat Abbasi
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