Optimise your sanctions screening thresholds
Identify ideal threshold parameters
Threshold Analyser is a unique analytical solution for financial institutions. It identifies the optimum threshold parameters for a sanctions screening system, modelling the impact of threshold changes on efficiency and accuracy without requiring any additional system testing.
From the output file of a tested system, AML Analytics links each test record back to the matched name and the threshold score at which it was matched.
Risk-based optimisation
Applying a risk-based optimisation approach produces an accepted balance between maximum sanctions alert hit rates and maximum resource efficiency at specified threshold levels.
Match rates to control, manipulated and Clean ID test records at each threshold level are then determined, allowing the impact of increasing or decreasing system matching thresholds to be analysed in full.
The relationship between the number of returns and the number of alerts missed at each threshold value determines the optimum setting. As the threshold is increased, the number of returns decreases, and conversely, the number of alerts missed increases.
Interactive analysis
An interactive threshold level selection toggle can be moved in Analyser Online™ to view the impact on efficiency and effectiveness levels with each selected threshold change, no reprocessing of sanction tests is required.
From these metrics, an optimum threshold level can be calculated to reduce excessive noise, improve efficiency scores and account for specific risk appetite, without adding additional sanctions risk.
Model resource savings
With Threshold Analyser, model potential savings on resource in terms of both time and cost at various specified threshold levels.
By reducing low quality alerts, fewer analysts are needed to clear them, maintaining a high standard of review across all remaining alerts.
Enter your own costs and set a suggested threshold level to model what these savings might look like for your organisation.
“The AMLA® Threshold Analyser tool helped us identify opportunities for system optimisation through threshold tuning and showed us exactly how to implement improvements, with the support of AMLA®’s expert team.
“The tool visualised the system’s effectiveness and efficiency at different threshold levels, something that previously required numerous tests supported by our IT and technical teams.”
A Leading Asian Bank in Hong Kong
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info@aml-analytics.com
+44 (0) 1264 889 339