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Financial Crime Technology

AML Talent Screened on Judgement, Not Just the Platform on the CV

Hire anti-money-laundering technologists across whichever platforms sit in your estate — monitoring, customer due diligence, screening, tuning and the data underneath all three. Platform-agnostic briefs welcome; we will tell you honestly which vendor experience transfers to yours and which does not.

For banks, payments firms, fintechs and consultancies. Contract, contract-to-hire and dedicated pods.

What an AML Brief Usually Looks Like

Live demand
Roles
AML technology consultant, detection specialist, tuning analyst, screening specialist, data engineer
Common estates
Vendor monitoring platforms, screening tools, in-house rules engines, or a mix inherited through acquisition
Typical trigger
A regulatory finding, an audit action, a new product or market, a platform replacement
Engagement
Contract · Contract-to-hire · Dedicated team · Project pod
Working models
Onsite, hybrid, offshore, or blended with your existing squad
Send us a JD or a rough outline —start a requirement.
Coverage
  • Monitoring
  • CDD
  • Screening
  • Tuning
  • Regulatory reporting
  • Data & lineage
Why This Role Is Hard to Fill

Half of an AML Skill Set Transfers Between Platforms. Half Does Not.

Typology understanding, tuning method, segmentation logic and the ability to defend a decision to compliance travel with the person. Configuration syntax, platform quirks and deployment mechanics do not. Most hiring goes wrong because the brief treats those two halves as one thing.

So we split them. If your requirement is genuinely platform-critical — a live upgrade, a tight deadline, an estate nobody documented — we hold the line on vendor experience. If the value is in judgement, we open the search wider and tell you what the ramp-up looks like on your stack. Either way you see the reasoning, not just the CV.

All Financial Crime Technology Talent
  • Vendor Name Used as a Proxy for SkillA platform on a CV says nothing about whether the person owned detection design or just clicked through a spec.
  • Compliance Literacy MissingAn engineer who cannot explain a threshold decision to a compliance officer will not survive model governance.
  • Data Layer Treated as Someone Else’s JobMost detection failures start upstream in feeds, mappings and completeness, not in the rules.
  • Operational Impact IgnoredDetection that triples the alert queue is a failure however correct it is. Capacity has to be part of the design.
  • Consulting Polish, Thin DeliveryPlenty of profiles have advised on target states. Fewer have configured, tuned and lived with the result.
Roles We Staff

The AML Roles Banks Ask Us For

Mix and match into a squad, or add one specialist to a team you already have.

AML Technology Consultant

Most Requested

Owns detection design and configuration across whichever monitoring platform you run.

  • Detection design
  • Configuration
  • Governance

Detection Scenario Specialist

Builds and amends monitoring logic for new products, markets and typologies, then proves it behaves.

  • Typologies
  • Scenario build
  • Backtesting

Tuning & Optimisation Analyst

Threshold analysis, segmentation review and the documentation model governance expects to see.

  • ATL / BTL
  • Statistics
  • Evidence packs

CDD & Customer Risk Specialist

Customer risk rating models, review triggers and the scoring logic behind onboarding decisions.

  • Risk rating
  • Review triggers
  • KYC data

Sanctions & Screening Specialist

Sanctions, PEP and adverse media screening, match logic, list management and rescreening cycles.

  • Sanctions
  • Match logic
  • List management

Financial Crime Data Engineer

Feeds, mappings, reference data, completeness controls and the lineage an auditor will ask about.

  • SQL
  • Pipelines
  • Lineage
  • Reconciliation

Regulatory Reporting Developer

Suspicious activity and threshold reporting output, plus the controls that prove it was complete.

  • SAR / STR
  • Threshold reports
  • Controls

Model Validation & Assurance

Independent testing of detection outcomes, regression across change, and pre-audit evidence.

  • Validation
  • Regression
  • Audit readiness
What We Screen For

The Capability Grid Behind Every Shortlist

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.

Monitoring & DetectionThe transferable core of the discipline
  • Typology coverage
  • Scenario design
  • Risk indicators
  • Segmentation
  • Alert scoring
  • Suppression logic
  • Backtesting
CDD & Customer RiskOnboarding through periodic review
  • Customer risk rating
  • Risk factor design
  • Onboarding checks
  • Periodic & event-driven review
  • Beneficial ownership
  • Enhanced due diligence
ScreeningSanctions, PEP and adverse media
  • Name & payment screening
  • Match rules & fuzzy logic
  • List management
  • Rescreening cycles
  • False positive reduction
  • Real-time screening latency
Tuning & Model GovernanceThe part that gets reviewed
  • Above and below-the-line testing
  • Threshold analysis
  • Statistical sampling
  • Model documentation
  • Validation support
  • Regulator and audit response
Data & ReportingWhat detection actually runs on
  • Source feeds & mappings
  • Data completeness controls
  • Reference data
  • Lineage & traceability
  • SQL & analysis
  • Regulatory reporting output
  • Management information
Platforms & DeliveryWhere vendor experience does matter
  • Vendor monitoring platforms
  • Screening tools
  • In-house rules engines
  • Case management handoff
  • Platform migration
  • Release & environments

Vendor-specific briefs are staffed from the platform practices — see NICE Actimize AML and SAS financial crime talent.

Engagement

Four Ways to Bring AML People On

Compare all models

Contract Staffing

Named specialists for a defined period — a tuning cycle, a remediation, an audit response.

A known gap with a known end dateDetails

Contract-to-Hire

Work together first, convert to permanent once the fit with your compliance team is proven.

Building permanent financial crime capabilityDetails

Dedicated Technology Teams

A standing pod that owns detection change, tuning cycles and the data underneath.

Detection change never really stopsDetails

Project Team Staffing

A scoped outcome — a platform replacement, a model overhaul, a regulator-driven remediation.

Defined scope with a delivery dateDetails
How We Get to a Shortlist

Screening, in the Order It Happens

Four steps, and you hear from us at each one.

  1. 1

    Requirement Intake

    Which platforms, whether vendor experience is genuinely essential, the products and markets in scope, and who signs off model change.

  2. 2

    Specialist Screening

    A financial-crime-experienced reviewer probes real decisions: detection owned, tuning defended, data issues found.

  3. 3

    Shortlist With Notes

    Profiles arrive with platform depth and compliance literacy rated separately, plus notice period and rate.

  4. 4

    Interview and Onboard

    We coordinate panels, handle paperwork and stay involved through the first weeks on your estate.

Profile Shapes

What an AML Shortlist Tends to Contain

Representative profile structures for the three most common briefs.

Senior AML Technology Consultant

Multi-platform background · retail and commercial

  • Owned detection design on more than one platform
  • Has taken change through model governance
  • Presents comfortably to compliance, not only to IT
  • Has worked a regulator-driven remediation

Tuning & Optimisation Analyst

Model governance facing · statistical background

  • Ran above and below-the-line testing end to end
  • Segmentation analysis with documented rationale
  • Reduced false positives without losing coverage, and can prove it
  • Produced evidence packs that survived audit

Financial Crime Data Engineer

Upstream of detection · audit-facing

  • Built and fixed feeds into monitoring and screening
  • Completeness and reconciliation controls in production
  • Can trace a field from source system to alert
  • Has answered a data lineage question from an auditor

These are representative profile structures, not live availability. Current availability, notice periods and rates are shared against a specific requirement.

Before You Send a Brief

Questions We Get Asked

We use a specific vendor platform. Should we brief that instead?

If the work is platform-critical, yes — see NICE Actimize or SAS talent. If the value is in typology and tuning judgement, briefing the discipline opens a wider pool, and we will tell you what ramp-up on your stack realistically costs.

How do you know which vendor experience transfers?

By asking what the person owned rather than which logo they sat under. Someone who designed segmentation and defended thresholds carries that anywhere; someone who configured to a spec written by a consultancy usually does not.

Do you cover the narrower disciplines separately?

Yes — see transaction monitoring, KYC, fraud and risk & compliance technology.

Can you staff the data side as well as the detection side?

Yes, and it is worth briefing explicitly. A significant share of detection problems are data problems, and the engineers who can work both layers are the ones who shorten these programmes.

Can we start with one specialist and scale later?

Yes. If the scope grows, the same engagement can extend into a dedicated team without re-contracting from scratch.

What do you need from us to start?

A JD if you have one. If not: which platforms, whether vendor experience is essential, products and markets in scope, whether the role is detection, tuning or data-led, seniority, engagement type and location expectations.

Request Talent

Tell Us What Your AML Programme Is Missing

Send a JD or a two-line outline. We come back with the roles that fit, what the market looks like for them, and a shortlist against your requirement.

For Hiring Teams

Send the discipline, the platform if it matters, and the start date.

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Send Your Requirement

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No profiles shared without a right-to-represent conversation first.