

Hiring has been measured rather than loud. Against a subdued 2025 economic backdrop, businesses took a cautious approach to hiring, but there were clear demand hotspots for specialist tech skills including AI, data, enterprise applications and cyber security Computer Weekly (tech recruitment outlook 2026). Embedded finance sits right on top of those hotspots, because putting payments, lending or accounts inside another company's product needs every one of those skills at once.
The AI pull is sharp. Demand for AI skills increased 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). For fintech teams embedding financial services, that concentration means the same small pool of specialists is being chased by banks, platforms and product companies alike.
Embedded finance blurs old job lines. A single feature, say instant credit at checkout, needs backend engineers for the ledger, data engineers for risk scoring, AI specialists for fraud detection and cyber security engineers to protect it. That mix mirrors the demand hotspots for AI, data, enterprise applications and cyber security seen across the market Computer Weekly (tech recruitment outlook 2026).
There's a regulated layer too. In the financial services sector, recruitment was generally for Regulatory Qualification Framework (RQF) 6+ roles, rather than RQF 3-5 GOV.UK - Temporary Shortage List: Stage 2 report. In plain terms, RQF 6+ maps to degree-level and above, so embedded finance teams increasingly want engineers who understand compliance and financial rules, not just clean code.
Start by mapping the whole feature, not the single job title. If a product embeds lending, name the data, AI, backend and security work up front, then decide what one hire must cover and what a second can. This keeps you honest about the specialist depth the market rewards Computer Weekly (tech recruitment outlook 2026).
Widen your search beyond the capital. With London holding 80 percent of AI-related job postings The Register (Accenture data), competing only there means fishing where everyone else fishes. Remote-first roles and regional talent open a bigger pool. And screen for regulated knowledge early, since financial services recruitment leans towards RQF 6+ roles GOV.UK - Temporary Shortage List: Stage 2 report.
Move quickly and clearly. Specialist engineers hold options, so a slow or vague process loses them. Write the brief around the outcome, respond fast, and keep interview stages tight.
When you're hiring across AI, data, backend and regulated engineering at once, breadth of reach matters. We search 15 million candidates and rank a shortlist in under 30 seconds, so you see matched people fast rather than waiting on a queue. 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. Ready to build your embedded finance team? Tell us the role and we'll start today.