The hiring market is cautious, but it is not flat. Against a subdued 2025 economic backdrop, businesses took a careful approach to recruitment, yet there were clear demand hotspots for specialist skills including AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook for 2026. Wealth teams sit right in the middle of that pattern: fewer broad hires, sharper demand for people who can work with data.
The wider professional market is still moving too. In August to October 2025, the largest volume increase in vacancies was in the professional, scientific and technical activities sector, which rose by 5,000 the ONS Vacancies and jobs in the UK bulletin for November 2025. Financial services and advisory firms draw heavily on exactly this kind of talent.
Demand for AI skills is climbing fast. It increased by 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, citing Accenture data. For London-centred wealth teams, that competition is close to home.
The job titles tell the story. IT business analysts, architects and systems designers, a group of 193,000 workers, are among the occupations in critical demand, with three out of five indicators flagged as critical in 2025 the Occupations in demand 2025 statistics on GOV.UK. These are the people who turn messy client and market data into something a wealth team can act on.
The seniority bar matters too. In financial services, recruitment was generally for Regulatory Qualification Framework (RQF) level 6 and above roles, rather than levels 3 to 5 the Temporary Shortage List: Stage 2 report on GOV.UK. In plain terms, firms want degree-level and professional expertise, not entry-level support. That raises the stakes on every open role.
Put the two trends together and the picture is clear. Wealth teams want data analysts and AI-literate specialists who also understand regulated environments, and they want them at a level where mistakes carry real risk.
Start by writing the role around the data work, not a generic job title. Specialist demand is concentrated in AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook for 2026, so name the tools, the data sources and the regulatory context in the first few lines. Vague adverts lose sharp people.
Be honest about seniority. If the role genuinely needs RQF level 6 and above capability, as most financial-services recruitment does the Temporary Shortage List: Stage 2 report, set the brief, the interview and the package to match. Asking for senior expertise on a junior framing wastes everyone's time.
Above all, keep momentum. When demand for AI skills has grown by nearly 200 percent in a year The Register, citing Accenture data, the firm that organises its process first tends to win the hire.
This is where we come in. 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. There is no monthly fee and no upfront cost, and it is always free for the person looking for work. Tell us the role, and we will get started on your shortlist.
