OTP gets a tighter hold on operational risk management with SAS®
For the financial services industry, risk is an inherent part of doing business. In recent years, corporate wrongdoing and market woes have put risk – and the consequences of poorly managing it – front and center. Record transaction volumes and demands for speed and automation have escalated the cost of managing risk. So have regulatory changes that now hold board members and executives personally accountable for their decisions.
OTP Group is the largest bank in Hungary, with subsidiaries in Bulgaria, Croatia, Romania, Serbia, Slovakia, Ukraine, Russia and Montenegro. With 1,600 branches, the bank provides traditional banking services and financial products such as car financing, investments and insurance services to its 11.8 million customers.
An automated approach
To do this it needed an automated approach to operational risk management, with a process-based information system to improve data management. Along with mandatory reporting, and data integration with multiple operational systems, OTP required a standardized business analytics solution that could be shared with its subsidiaries and supported locally by IT.
To address its risk management challenges, the bank uses SAS to collect, manage, track and report information about operational loss events, key risk indicators, risk-assessment maps and control-assessment scores.
"The group-level capabilities offered by SAS were very important to us. SAS' solution covers all the functionality required by OTP and they offered a fast-track implementation," says Zsuzsanna Tamásné Vőneki, Head of Country and Counterparty and Operational Risk Management, OTP Bank. "As well, SAS is present in all of our subsidiary countries, which means it can provide international product support to the group."
"While the SAS solution has been up and running for only a short time and the development of the appropriate processes is still underway," says Tamásné Vőneki, "the application manages highly diverse processes consistently, which is a major improvement over the old, manual approach to data management.
"Using SAS, it requires less effort and time to provide credible information for operational risk management purposes. Using the system on a group level, the bank is able to reduce its losses and improve its capital and liquidity positions."
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Identify and prevent risk, establish stable capital and liquidity position, and apply increased prudence in provisioning practices; apply a standard business analytics solution across subsidiaries.
SAS for operational risk management
Reduce loss, free up capital, protect liquidity, provide credible decision support with less time and effort.
“"The bank is able to reduce its losses and, in the long run, will introduce controlled processes to lower its rate of mandatory capital reserves, which could generate surplus liquidity of up to several million euros annually."”
Zsuzsanna Tamásné Vőneki