Reduce false positives by intelligent watch-list optimisation

Reduce false positives by intelligent watch-list optimisation

Munir Merchant
Financial Crime SME

Changing watch-lists could cause alert spikes and impact your operational workload. It doesn’t need to be that way. Applying intelligent and pro-active measures (that are proven) is what you need.

The issue

Screening Engines are implementations of various search techniques and pattern matching models. By design they are highly sensitive to the profile of the data they receive as input. A carefully calibrated engine could start churning out false positives if the input data profile changes .

The client/payment data profile is usually analysed and incorporated into the calibration of the screening engine (and is unlikely to change massively).

However, watch-lists originate outside the organisation and are as such prone to duplication, poor formatting, inconsistent DQ standards amongst several other things.

The fact is that the volume, source, data profile, and update frequency of watch-lists directly affects the screening alert volume (i.e. operational workload & cost)

What Contineo can do?

Contineo FRS are experts in calibrating screening engines to deliver efficiency gains without compromising on recall (i.e. effectiveness).

Our SMEs understand the inner workings of leading screening technologies and know exactly how optimisation of watch-lists can be done intelligently to deliver massive reduction in false positives

This is an undertaking that requires a combination of deep domain knowledge, advanced data analysis skills, and most importantly past experience of doing exactly that successfully.

Get in touch today to understand how we can help you at

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December 16, 2019

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