In banking, quality failures become regulatory events.
A failed batch run, a mis-posted ledger, an outage on payday — in financial services these aren’t bugs, they’re incidents with regulators, media, and customer trust attached. Between RBNZ expectations on operational resilience, AML/CFT obligations, and the conduct regime, the cost of shipping unverified change keeps rising. Independent QA is how banks ship change and sleep at night.
What we test
The platforms and journeys where banking risk concentrates.
Proven where it counts.
Resync consultants have delivered independent QA on core banking migrations and enterprise financial platforms for New Zealand institutions where failure was simply not an option. Ask us about our core banking practice.
How we help
The Resync services this sector draws on most.
- Core Banking QA → — migration and modernisation testing for core platforms
- Test Automation → — AI-assisted automation that cuts regression cycles by weeks
- Performance Testing → — load, stress, and soak testing before your peak does it for you
- Security Testing → — independent application security testing
- QA Audit → — an independent review of your programme’s testing health
- AI Systems Assurance → — independent assurance for AI systems and their governance
Frequently asked questions
Why does a bank need independent QA rather than vendor testing?
Because the vendor delivering your platform has a commercial interest in declaring it ready. Independent QA gives the bank — and its regulators — evidence from a party with no stake in the go-live date. That separation is exactly what operational-resilience expectations point toward.
Can you test alongside our delivery partner without slowing them down?
Yes — that’s our standard operating model. We embed alongside the SI or vendor, test in parallel with build, and report to the bank’s own governance rather than the vendor’s.
Do you cover both legacy and modern stacks?
Yes. NZ banking runs on everything from decades-old core platforms to cloud-native channels. Our teams test the batch jobs and the APIs — and, critically, the seams between them.