Motor insurance sits inside financial services, and that's where the hiring pressure is building. Telematics devices now stream speed, braking, location and impact data straight from fleet vehicles into claims systems, and someone has to turn that data into fair, fast decisions. The work is getting more technical, and so is the hiring brief.
The qualification bar reflects that shift. In the financial services sector, recruitment was generally for Regulatory Qualification Framework (RQF) 6+ roles, rather than RQF 3 to 5, according to the GOV.UK Temporary Shortage List: Stage 2 report (2026). In plain terms, employers are reaching for degree-level and professionally qualified people more often than for entry and intermediate grades.
That matters for motor claims. As telematics turns a routine claim into a data exercise, the people handling those claims need to sit comfortably at that higher qualification level.
Telematics is blurring the line between a traditional claims handler and a data-literate investigator. A handler now cross-checks a driver's account against the vehicle's own record: was the car stationary, was braking harsh, did the reported impact match the g-force reading? Fraud detection, liability decisions and subrogation all lean on that evidence.
That raises demand for a few connected skills. Claims professionals who can interpret telematics output. Fraud analysts who spot patterns across large data sets. Fleet and commercial specialists who understand how a whole vehicle fleet behaves, not just a single policy. And team leads who can translate between claims, data and underwriting.
The common thread is judgement plus data confidence. The tilt towards RQF 6+ roles in financial services, noted in the GOV.UK Temporary Shortage List: Stage 2 report (2026), fits this picture: employers want people who can own a complex, data-driven claim from first notification to settlement.
Start with the real job, not the old job description. If a claims role now depends on reading telematics data, say so and test for it. Give shortlisted people a short, realistic scenario: here's the data, here's the driver's statement, what's your decision and why? That tells you more than a list of past job titles.
Then widen the pool. The best data-literate claims people may come from adjacent areas: fraud, underwriting, analytics or even logistics and fleet operations. Screening only for identical experience narrows your options at exactly the moment you need range.
Finally, move quickly and keep people informed. Strong claims and data talent gets several approaches at once. A clear brief, a fast first response and a tidy interview process do more to win the right person than a drawn-out, silent pipeline.
This is where we help. We search a database of 15 million candidates to find people with the claims judgement and data confidence that telematics-heavy teams now need, and we manage the process end to end: sourcing, ranking, contacting and booking interviews. 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 hiring for motor claims, tell Reed.ai the brief and we'll get to work today.
