Tuning & Optimisation Cycles
Most RequestedAbove and below-the-line testing, segmentation review and the evidence pack model governance expects.
- ATL / BTL
- Segmentation
- Evidence
We staff banks, payments firms, fintechs and consultancies across AML, KYC, fraud and compliance technology. The engineers we send can configure the platform and defend the decision to compliance, audit or a regulator — because on these programmes one without the other is not much use.
Detection, tuning, case management, data and platform. Contract, contract-to-hire, dedicated pods and full project teams.
In most technology work, a change that behaves correctly is finished. Here it is barely started. A threshold move, a new scenario, a rule retirement — each one has to be documented, evidenced and explainable to people who were not in the room, sometimes years later. That constraint shapes who is actually useful on these programmes.
It also splits the market. Plenty of engineers can configure a platform; plenty of analysts understand typologies and regulatory expectation. Far fewer do both well, and briefs rarely specify which they need. So we ask first, screen the two separately, and tell you which side a profile is lighter on rather than averaging it into one impression.
All ExpertiseMost briefs arrive as one of these. Tell us which and the team shape follows.
Above and below-the-line testing, segmentation review and the evidence pack model governance expects.
Regulator or audit-driven work with a fixed date, a defined scope and a lot of documentation.
New detection, screening or case management rollouts, including the model governance path.
Version upgrades and SaaS migrations where detection output has to be proven unchanged.
Extending fraud and AML coverage to a new channel, rail or product before it goes live.
Moving investigators onto a new case platform without losing history or throughput.
Returns, submissions, surveillance calibration and the controls that prove completeness.
Feeds, completeness controls, lineage, and the standing capacity to keep detection healthy.
Requirements get mapped against this grid before we send anyone, so you can see depth by area instead of reading it out of a CV.
A full pod for a scoped programme — lead, engineers, data, validation and BA.
DetailsNamed specialists for a defined period — a tuning cycle, a rail launch, audit response.
DetailsA standing pod that owns detection change, tuning cycles and the data underneath.
DetailsWork together first, convert to permanent once the fit with compliance is proven.
DetailsFour steps, and you hear from us at each one.
Which platform and discipline, whether vendor experience is essential, the deadline, and who signs off model change.
A financial-crime-experienced reviewer probes real decisions: detection owned, tuning defended, data issues found.
Profiles arrive with platform depth and compliance literacy rated separately, plus notice period and rate.
We coordinate panels, handle paperwork and stay involved through the first weeks on your estate.
Starting points rather than fixed packages — each one gets sized against your brief.
Fixed regulatory date · evidence-heavy
Alert volume reduction · analytical
Version currency · parallel run
Team compositions are illustrative starting points, not fixed packages. Actual shape, rates and availability are agreed against a specific requirement.
If the work is platform-critical — an upgrade, a tight deadline, an undocumented estate — brief the platform. If the value is in typology and tuning judgement, briefing the discipline opens a wider pool. On the intake call we help you decide, and we will tell you what ramp-up on your stack realistically costs.
Yes, and for remediation and upgrade programmes that is the usual shape — see project team staffing. The team shapes above are the common starting points.
By being straight about the market. We will tell you what is realistically available in your window and which roles are the binding constraint, so the plan is built on real availability rather than an assumption about it.
No. We staff the technology side — detection, tuning, data, case configuration and delivery. Volume investigation and file review headcount is a different market, and we would rather say so than take the brief on speculatively.
Yes, but as distinct disciplines. Real-time decisioning under a latency budget is a different skill from batch monitoring with a review window, and we do not present one as the other. See fraud and transaction monitoring talent.
A JD if you have one. If not: platform and discipline, deployment model, the programme driver and deadline, whether the role is domain or engineering-led, seniority, engagement type and location expectations.
Send a JD or a two-line outline. We come back with the team shape that fits, what the market looks like for those roles, and a shortlist against your requirement.
Two minutes now, a shortlist conversation next.