

Real-time payments are changing how finance operations teams work. When money moves in seconds, so must reconciliation, fraud checks and exception handling. That shift is pulling teams back into the market for people who can run these processes at pace. Demand is real, and it is specific.
The pattern in financial services is towards higher-qualified roles. Recruitment in the sector was generally for Regulatory Qualification Framework (RQF) level 6 and above, rather than levels 3 to 5, according to the GOV.UK Temporary Shortage List Stage 2 report. In plain terms, employers want senior, degree-equivalent expertise, not junior cover.
Real-time settlement raises the bar on the people who keep it running. Teams are looking for payments operations specialists, reconciliation and controls analysts, fraud and financial crime experts, and finance systems owners who understand the underlying rails.
The through-line is seniority. With sector hiring generally aimed at RQF level 6 and above rather than levels 3 to 5, according to the GOV.UK Temporary Shortage List Stage 2 report, the roles need judgement and regulatory knowledge, not just processing speed. That makes each hire a considered one, and it makes getting the shortlist right the whole game.
Start with the process, not the job title. Map where real-time payments create pressure in your operation, then define the exact skills that relieve it. If sector demand skews to RQF level 6 and above rather than levels 3 to 5, as noted in the GOV.UK Temporary Shortage List Stage 2 report, you are competing for senior people, so a sharp, specific brief matters more than a wide net.
This is where we help. We search a database of 15 million candidates to find people with the specific payments and controls skills your team needs, then rank a shortlist for you to review. You stay in control of who you speak to and when. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell Reed.ai the role and see who we surface.