This Certificate moves transaction monitoring from a rules queue to a governed, data-driven discipline you can defend to a model risk committee.
Monitoring programmes are now judged on outcomes, not alert volume — and AI/ML tools sit inside that judgement more often every year. This Certificate gives you the vocabulary, the metrics and the paper trail to defend a modern monitoring approach to a model risk committee, an auditor, or a supervisor.
It is self-paced:
Directly relevant to Transaction Monitoring Analysts, Financial Crime Data & Analytics leads, and Model Risk or Validation specialists working on AI/ML-enabled monitoring.
| No. | Lesson | What it covers |
|---|---|---|
| 01 | From Rules to Risk Signals | Why more alerts don't mean better outcomes, and how to combine KYC, behavioural, network and external data. |
| 02 | AI & Machine Learning for AML, Explained Simply | Supervised versus unsupervised approaches, feature quality, model drift, and why a human always stays in the loop. |
| 03 | Measuring What Matters | Calibrating precision and recall, setting coverage targets, and closing the loop with law enforcement feedback. |
| 04 | Governance, Validation & Explainability | Model inventories, validation playbooks, and documentation standards that satisfy an auditor or a regulator. |
Alert Triage War-Room
A recorded, trainer-led session comparing a rules-only alert queue against a hybrid model on the same portfolio — you'll prioritise, record your rationale, and draft a change request.
What you'll produce: A triage rationale and a change request to a monitoring steering group.
No exams. Complete the assessment in your own time, at your own pace.
Earn the Certificate in Detection, Monitoring & Analytics as a standalone credential with a digital badge — and count it toward the Diploma in Financial Crime Risk & Assurance if you go on to complete all six.
€149.00