Transaction Monitoring & AML Analytics
Model money-laundering risk in transaction data.
The executive challenge
The problem this program solves
Your competitors have industrialised their transaction monitoring capability into pricing, service and operations while your organisation still debates the pilot. Every quarter of hesitation now compounds. The board does not need more dashboards; it needs an executive who can say where transaction monitoring pays, where it does not, and how the institution will know. You leave with the frameworks to commission work on transaction monitoring, interrogate its outputs and govern it with the discipline applied to any other capital allocation.
Context
Why this matters now
Capability
What you will be able to do
- Commission transaction monitoring work and interrogate its outputs with an operator’s confidence.
- Defend a transaction monitoring investment case before a board that has been disappointed before.
- Construct a transaction monitoring roadmap sequenced by value, feasibility and risk.
- Read transaction monitoring evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
The IPAT Course Standard
The five-day journey
Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.
IPAT Signature Case™
Six Weeks to Prove Transaction Monitoring
A newly appointed chief data officer at a pan-African retail bank inherits a transaction monitoring mandate, one budget cycle to show value, and three functions that each claim ownership of the same dataset. The CEO wants a decision improved this quarter — not a strategy deck.
Your decision: Choose the single transaction monitoring initiative worth proving in six weeks, name what gets stopped to fund it, and decide who owns the result.
IPAT Data Lab™
Three functions at a national revenue authority report three different truths about the same transaction monitoring question.
Dataset: Synthetic multi-source transaction monitoring dataset — finance, operations and customer tables that disagree.
Your task: Reconcile the sources, build the single defensible view, and decide which dashboard the executive committee keeps.
A reconciled transaction monitoring decision view and the data architecture behind it.
Data → Analysis → Decision, not Data → Code → Certificate
Day 5 · The Capstone
What will you change when you return to work?
Build a twelve-month analytical and AI roadmap for your organisation: the value case, the data foundations, the governance, and the first 90 days.
Methodology
Frameworks you will master
- • IPAT Data-to-Decision Framework™
- • IPAT Executive Capability Model™
- • Value-versus-feasibility portfolio analysis
- • CRISP-DM analytical lifecycle
- • Model risk management principles (SR 11-7 adapted)
Cohorts
Upcoming cohorts
New dates are being scheduled
Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.
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