BBVA Compass

BBVA Compass is a financial institution with 748 branches; and is a wholly owned subsidiary of BBVA, which has more than $785 billion in total assets.

“Informatica enables BBVA Compass to improve visibility into compliance activities across the business, while reducing risk with timely and trusted data.”

Cassaundra Franklin

Senior Vice President and Bank Secrecy Act Officer, BBVA Compass

Business Need

The recent global financial crisis exposed significant shortfalls in the financial services industry’s risk management infrastructure.
In particular, BCBS 239 highlights the importance of strengthening risk management through appropriate infrastructure and processes for data aggregation and risk reporting.

Regulatory authorities have responded by issuing guidance designed to pressure financial institutions to bolster their risk management frameworks.

Challenges

BBVA Compass needed to enhance its level of internal controls and governance pertaining to the bank’s compliance with U.S. regulatory anti-money laundering (AML) requirements.
The bank wanted a more sophisticated solution that offered broader coverage: a data integration solution that was flexible and scalable to meet current and future regulatory compliance needs.

In the legacy system, data required for compliance and anti-money laundering resided in multiple disconnected systems, formats and structures.

Solutions & Results

Deployed Informatica to integrate data from up to 17 source systems, formats, structures and latency (including loans, credit cards, and accounts, plus on-line banking transactions) into an Oracle Mantas AML solution.
Allowed the bank to source new data 50% more quickly.
Reduced compliance costs through rapid, open integration.

Enabled more efficient detection, investigation and reporting of suspected money laundering activity.
Helped the bank maintain compliance with national and international regulations, and enhanced its ability to implement industry best practices.
Saved time, reduced staff costs and efficiently managed risk by isolating unusual behaviors and reducing false positive alerts.