Data & technology

We making effective use of data and technology to address the challenges you face operating in today’s changing and often, highly regulated environment.

Our services

Machine learning is creating new business opportunities for financial services. It is used in predictive modelling and advanced analytics. Stored in data lakes or data warehouse, it often involves terabytes, petabytes and even exabytes of data points created and collected by your organisation over time. We combine the right people and tools to help your organisation realise the value of this large and hard-to-manage volume of data.

Using our bespoke methodology, we leverage the information contained in your large-scale, structured and unstructured data sets. This allows us to examine financial and operational data routinely collected in the normal course of business and extract additional value. Analysis provides insights that improve your decisions and give confidence for making strategic business moves.

Our data & technology services can be used as a standalone solution, or in conjunction with our other offerings, such as investigations, compliance and look-back reviews, and controls testing.

Data assurance

Establish data governance and integrity frameworks for FCC models.
Assurance over completeness, integrity and accuracy of core data used for AML/CTF and sanctions screening.
Retrieval and collation of historic data from multiple sources under stringent data protection and security controls.
Analyse vast payment volumes and extract meaningful insights for management and/or compliance and audit teams.

Data management

Data cleaning, validation and enrichment.
Extract, transform, and load data from data lakes and and archive systems to be used in look-back reviews.
Retrieval and collation of historic data from multiple sources under stringent data protection and security controls.
Data transformation and provision of bespoke easy-to-use query facility.
Translate complex, high-volume or numerical data into a visual representation that is easier to process.

Data analytics

Perform complex data analytics, trend analysis and data mapping around payments and customer account activities.
Test the robustness of sanctions detection software and derive deeper fuzzy-logic insights across multi-data sources.
Work with large-scale payment processing applications to recover and extract forensic data.
Threat and pattern intelligence.

Technology

Perform model validation and provide independent assessment of associated data for lineage, quality and appropriateness.
Build and configure end-to-end list management processes including automated downloads of regulatory lists.
Tune and calibrate tools for transaction monitoring, name and payment screening.
Develop additional automated rules to eliminate false positive sanctions alerts.