Why UK brokers recruit for data storytelling skills

UK brokers now recruit for data storytelling skills because clients and regulators expect clear, evidence-led advice, and the people who can turn complex data into a decision clients trust are the ones who win and keep business.
Author

Jordan Van Tonder

Job Title

Strategy and Delivery Lead

What does financial-services hiring look like right now?

Hiring in financial services has grown more selective, and the bar sits high. In its 2026 review, the Temporary Shortage List report found that recruitment in the sector was generally for Regulatory Qualification Framework (RQF) level 6 and above roles, rather than RQF levels 3 to 5 GOV.UK - Temporary Shortage List: Stage 2 report. In plain terms, firms are reaching for higher-skilled, better-qualified people rather than filling junior seats.

That demand sits alongside a cautious wider market. The 2026 tech recruitment outlook noted that against a subdued 2025 economic backdrop, businesses took a careful approach to hiring, but there were clear demand hotspots for specialist skills including AI, data, enterprise applications and cyber security Computer Weekly (tech recruitment outlook 2026). For brokers, data sits right in the middle of that hotspot.

Which skills and roles are brokers hiring for?

The demand for data talent is sharp and growing fast. Accenture data showed demand for AI skills rising 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 The Register (Accenture data). A broking workforce is concentrated in exactly that market, so the competition for people who can work with data is real.

But raw data skills are only half the job. A broker's value is turning numbers into a recommendation a client acts on. That's data storytelling: reading the evidence, finding the signal, and explaining it in a way a client or an underwriter understands and trusts. The roles in demand pair analytical ability with communication, from client-facing advisers to analysts who brief the front line and regulatory specialists who evidence their advice.

How do you hire well for data storytelling in financial services?

Start by describing the person, not just the tool list. Someone who can interrogate a dataset and then present a clear, honest conclusion is more valuable than someone who only knows the software. Write your role around that blend: analysis plus the ability to explain.

  • Test both halves. Ask candidates to walk you through a chart or a dataset and explain what they'd advise a client to do, and why.
  • Prioritise clarity over jargon. The best storytellers make complex evidence simple, which is exactly what clients and regulators want.
  • Hire for the regulated bar. With demand concentrated at RQF level 6 and above GOV.UK - Temporary Shortage List: Stage 2 report, define the qualifications you genuinely need up front.
  • Look beyond London. With the capital drawing the bulk of AI-related postings The Register (Accenture data), widening your search area opens up strong people others overlook.
  • Move quickly. In a cautious but competitive market Computer Weekly (tech recruitment outlook 2026), a slow process loses the people you most want.

Where does the right recruitment agent fit for brokers hiring data talent?

When you're competing for people who can both read the data and tell its story, speed and reach decide the outcome. We search a database of 15 million candidates, rank a shortlist in under 30 seconds, and manage the process end to end so you can focus on choosing the right person. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. If you're recruiting for data storytelling skills, start your search with Reed.ai today.

Sources

Jordan Van Tonder
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