Risk assessment & governance
Assess customer, product, channel, country and transaction risks against the control environment.
- Risk taxonomy
- Risk appetite
- Committee and MI

We address AML/CFT, KYC/KYB, sanctions, transaction monitoring and fraud as an end-to-end control system connecting policy, data, technology, operations, quality and management oversight.
Risk classification should align with customer data; monitoring rules with product and channel reality; investigations with decision criteria; and management information with risk appetite and quality results.
Assess customer, product, channel, country and transaction risks against the control environment.
Design identity, beneficial ownership, risk rating, high-risk customer and ongoing due diligence journeys.
Assess scope, matching, decisions, escalation and data quality across sanctions, PEP and adverse media.
We connect risk typologies to data, scenarios, thresholds and customer segments, then establish retrospective testing, calibration, approval and ongoing performance monitoring.
We assess identity, account, payment, digital-channel and transaction fraud risk, bringing prevention, detection, response, loss mitigation and feedback controls into one framework.
Build case standards, decision quality, suspicious activity assessment, QA/QC and independent testing.
A mature financial crime programme is not a collection of disconnected KYC and monitoring processes. Policy, data, decision rationale and quality feedback remain traceable across one end-to-end control chain.
Scenario coverage, segmentation, thresholds, data quality, false positives and analyst capacity need to be optimised together.