Smart data gathering

Overview

Background

Tier 1 bank has committed to regulators to meet KYC remediation deadlines therefore initiated the remediate program to modernize Customer Due Diligence Operations with BlackSwan Technologies.

Objective

To reduce manual effort and improved productivity and quality of the KYC process.

Scope

Leverages the advantages of big data and Artificial Intelligence. Collect and aggregate KYC data for wholesale banking from various sources such as company registry, chamber of commerce, stock exchange, global data vendors. Streamline AML operations for smart data-gathering. Enrich entities using structured and unstructured data, metadata, OSINT and paid-for sources. Resolve entities across a multitude of systems and be alerted to any inconsistencies. Match attributes belonging to the same entity and group entities based on a state-of-the-art matching algorithm. Deployment in Microsoft Azure Azure.

Timeline

16 months

Responsibilities

Lead and drive engagement with tier 1 international banks being technical, functional and non functional SME and trusted advisor. Plan, execute and oversee aspects of engagement from inception to business as usual with ability to identity risks issues, impacts and recommendation. Collaborated with cross-functional teams such as R&D, Support, DevOps, QA.

Description

Delivered cutting-edge enterprise software that leverages the advantages of big data and AI to control money laundering and financial crimes for the tier 1 international bank. Modernization of bank’s data quality, governance and discoverability using a decentralized Data Fabric approach.