AML/KYC Continuous Design and Implementation

Transform client risk models with dynamic risk factors. Reveal hidden networks of relationships and enable financial institutions to achieve single client view. Leverage network analytics to transform data into actionable risk insights and decisions.

Are you asking yourself

Do your AML monitoring systems generate high false positive rate that takes too much of the analysis’ time?
Are your KYC processes future-ready, operationally efficient, and scalable?
Is data quality a major roadblock to achieve a higher AML monitoring efficiency in the bank?
Are your processes benefitting from potential insights that can be created from the consolidated internal data and insightful external data?

What you will get from us:

Integrate dynamic KYC risk scenarios into existing risk scoring methodologies.
Significant change in KYC framework by shifting away from standardised periodic KYC reviews to a dynamic continuous KYC framework, which is triggered based on actual events.
Centralisation of internal and external data required to conduct KYC reviews by referring to a single client view.
Generate risk insights with network analytics to identify risk hotspots within the organisation across clients and business segments.
Conceptualisation and implementation of key AML reporting metrics.

Our Approach

As-is assessment.

Analyse the client’s current KYC review process (e.g., client onboarding, transaction monitoring, and PKRs) and recommend the area of improvements.
Framework design target state definition.

Partner with the client to identify suitable vendors or ringfence in-house applications for the change implementation.
POC.

Gather business requirements and launch proof of concept.
Planning and implementation.

Prioritise end-to-end delivery planning and implementation.
PIR.

Post implementation review and training.

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