Article

Key components of an effective Transaction Monitoring framework

By:

Jocelyne Landu Gombo

27 Mar 20264 min read

Contents

Transaction monitoring is best understood as a full lifecycle, a series of interconnected stages that work together to detect, assess and respond to financial crime risks. As regulators continue to intensify scrutiny, firms must demonstrate that each stage of this lifecycle is robust, aligned and capable of adapting to evolving threats.

In the video, Jocelyne Landu Gombo, Associate Director in our Financial Crime team, breaks down each phase of the transaction monitoring lifecycle. She outlines how Grant Thornton can help firms with the below stages;

TMRA – understanding your AML/CTF risks from the outset to ensure monitoring is targeted and proportionate.
BRD, FRD & Data Framework – defining what the monitoring solution needs to achieve and ensuring the underlying data, architecture, lineage and controls are robust.
TM Strategy – setting the direction, priorities and typology coverage for monitoring.
Rule & Parameter Setting – turning strategy into actionable scenario logic, segmentation and thresholds.
Model Validation – independently assessing whether the design, data, performance and typology coverage are effective.
Alert Handling – ensuring unusual activity is assessed appropriately and if suspicious, promptly reported.
Ongoing Oversight – monitoring what’s working (and what isn’t) to ensure the solution remains effective.
Post Go‑Live Calibration – tuning and adjusting monitoring as behaviours and risks evolve.

Whether you’re refining your current system or developing a monitoring framework from the ground up, the insights shared in this video offer practical guidance to help build a more resilient and adaptive approach.

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Transcript

Regulators are increasingly paying attention to how firms monitor customer transactions.

Since 2021, the FCA has issued 13 fines for AML control failures, and in many of those cases, issues with transaction monitoring played a major role.

Put simply, transaction monitoring is an ongoing, risk‑based process where firms review customer transactions to ensure they match what they know about the customer. When unusual behaviour that could indicate money laundering or terrorist financing is identified, it must be investigated and, if suspicious, promptly reported.

A helpful way to think about transaction monitoring is as a full lifecycle.

TMRA (What is a TMRA and why does it matter?)

The first step in this lifecycle is the Transaction Monitoring Risk Assessment or TMRA. Here, the aim is to identify the money laundering and terrorist financing risks and typologies that are relevant to your firm, based on products and services you offer, and the jurisdictions in which you operate.

Ultimately, your TMRA should give you a good understanding of how your products and services can be exploited, the level of coverage you have through existing monitoring controls (whether those are automated rules or manual processes) and gaps that need to be addressed.

BRD, FRD & Data framework (What should your Business Requirement Document, Functional Requirement Document and data framework capture?)

Following the TMRA, you should document your business and functional requirements, setting out what the monitoring system needs to achieve, as well as the data, workflows and capabilities required.

You will also need a clear understanding of where your data comes from and how it moves into the monitoring system. This should be supported by controls that ensure your system runs on complete, accurate and timely data.

TM strategy (How do you build an effective transaction monitoring strategy?)

With this foundation in place, you can develop a transaction monitoring strategy that sets out your detection scenarios, the rules you intend to use to address typologies identified through the TMRA, and your customer segmentation approach.

Rule design, Segmentation, Threshold setting & Pre-go live tuning (How should rules, segmentation and thresholds be designed and tested?)

The next step is to design and build the detailed rule logic that implements your strategy and then, segment your customers so that the monitoring reflects how different groups behave.

Once segmentation is in place, you can set and test thresholds in a sandbox environment to ensure they detect genuine risk.

Model validation (How do you ensure that your transaction monitoring model is fit for purpose?)

Before your rules go live, you should validate the design, logic and configuration of your TM system to confirm it operates as intended. This should be repeated periodically to ensure the model remains effective over time.

Alert handling (What does strong a alert handling framework look like?)

Of course, a well-designed system isn’t enough on its own. You also need a strong alert handling process with suitable case management tools, clear investigation procedures and a sufficient number of trained investigation resources.

In addition, you should have robust quality control and quality assurance processes to ensure that investigations are consistent, and that suspicious activity is identified and promptly reported.

Ongoing oversight (How should firms maintain ongoing oversight?)

Strong governance is also essential. You should regularly review rule performance, alert volumes, SAR conversion rates and emerging risks.

Post-go live calibration (How often should you calibrate your rules after go live?)

And finally, alongside that oversight, calibration will need to happen on a regular basis to keep rules effective as behaviours change and risks evolve.

Closing remarks

A truly effective transaction monitoring framework is built through a structured, end‑to‑end approach.

When all of these elements work in harmony, monitoring becomes more than a compliance requirement—it becomes a powerful, adaptive safeguard that protects your business.