Client Screening
Screen clients or entities against sanction lists while leveraging our machine learning programme and advanced fuzzy matching algorithms to reduce false positives.
Rapidly load and cleanse external data
Automatically cleanse data from internal and external sources to prepare for optimal screening. Our system makes provision for OFAC as well as for watch- and sanction lists from different providers.
Build client screening rules swiftly
Our graphical user interface makes it easy to build and configure rules for client party screening based on the imported data, and can be configured in advance to make post-screening analysis easier.
Gain comprehensive view of screening result summary to refine outcome and maintain a full audit trail
Gain a comprehensive list of possible matches using the wide-net search process. Apply exclusion filters (PEP, SIP, RCA, Gender, In-country-PEPs etc) to narrow down the scope and work towards the final ‘match’. The final match is recorded with a copy of the input data and all the possible matches along with details of the scores for audit purposes.
Improve workflow and case management
Our system allows you to manage tasks across multiple teams and track status of reviews through graphical analytics on the dashboard. Easily export matches to spreadsheets for further analysis.
Platform architecture and services
The Napier Fortytwo Ecosystem comprises of two components:
- Application layer built upon micro-services
- Napier Business Applications, fully customisable for specific business needs
Data integration:
- Fast integration through micro-services leveraging fault tolerant, self-healing architectures
- RESTful APIs as standard for data integration and interactions with platform applications
- Standard interfaces for common data ingestion (e.g. Flat-file, CSV integration, etc.)
- Rapid interface development based on proprietary development framework
Our Solutions
Transaction Monitoring
Rapidly build and test rules to reduce false positives within transaction monitoring processes with this machine learning-enabled product which is designed to be used by non-technical business users in organisations of all sizes.
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AML
TRANSACTION
Screening
Screen parties involved in transactions and utilise machine learning programme and advanced fuzzy matching algorithms to reduce false positives.
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client
Screening
Screen clients or entities against sanction lists while leveraging machine-learning programme and advanced fuzzy matching algorithms to reduce false positives.
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CLIENT Activity
Review
Automate the review of customers and their accounts against expected behaviour to fulfil regulatory requirements efficiently with a full audit trail.
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Risk-based scorecard review
Perform enhanced risk assessments to generate a risk level for each client. Use these levels as part of a risk-based assessment to optimize your screening and monitoring processes.
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Entity
Screening
Screen entities against sanctions lists while using advanced fuzzy matching algorithms to reduce false positives.
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BIG DATA PLATFORM
Ingest, enrich and analyse unprecedented quantities of data from multiple sources in real-time at a fraction of the cost (and in a fraction of the time) of legacy systems. Adding insight, whatever the sector.
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