What are operational risks in financial institutions?
In the last decades the financial industry has been involved in numerous misconduct scandals publicized by different media. Highly damaging to large and small financial groups. As a result of these situations, the improvement of the conduct of financial systems is always under scrutiny by various actors. For this reason, any activity deriving from financial management involves making decisions and performing actions subject to error. As a consequence, generating potential losses for the entity, which may lead to catastrophes or fines by regulatory bodies.
But what is Operational Risk? In the financial system, Operational Risk is understood as the possibility of occurrence of financial losses due to deficiencies or failures in internal processes, which may derive from information technology, deficiencies in operating processes, people or the occurrence of adverse external events.
Business Processes and Risk Management
It is clear that financial institutions focus on implementing systems that allow for proper operational risk management, including internal audits that allow them to verify that Business Processes and Information Processes are being carried out correctly and to identify possible errors that could lead to future problems.
Due to the above, financial institutions established a strategy for identification, measurement, control, monitoring and mitigation of operational risk. This strategy has its own approach and methodology of operational risk management for each financial institution. It is based on its corporate purpose, size, nature and complexity of operations. Therefore, each financial institution must have a system that avoids internal fraud and minimizes operational risks. The latter is difficult to manage and generates a great loss of confidence on the part of its users.
How to mitigate operational risk?
A major step towards this achievement is to improve the quality and reliability of internal data, the greatest value revolves around patterns and correlations in data and predictive intelligence, as well as using cognitive machine learning and analytics tools to identify dangerous accumulations of potential risk. Automation of Banking Processes is very important in this domain, as the infrastructure that a bank must have in place for operational risk management is to leverage automated workflows to continuously monitor emerging issues and ensure that the right people receive the right information in a timely manner, allowing it to respond quickly and effectively to day-to-day or unexpected situations.
In the Mexican banking system there have been numerous financial fraud scandals in recent decades. Irregular handling that have tarnished the prestige of the banking system during the last 20 years. Now it is clear because each time new and developed methodologies are generated that allow better control. The search for risk reduction is a challenge faced by all financial institutions in the world. As a result, they are supervised by regulatory institutions such as the CNBV (National Banking and Securities Commission), for example for the provisions published on November 19, 2020 for credit institutions, the commission requests them to keep available to the CNBV the evidence of compliance with the minimum general requirements for obtaining the capital requirement for Operational Risk under the Business Indicator Method for Credit Institutions.
Enterprise Architecture and Business Processes
In summary, banking systems make their methodologies more robust and secure, allowing them to continue to operate correctly and efficiently. Therefore, it is a fact that operational risk management is vital for the survival of financial institutions. Having a robust system that avoids operational risks is nowadays a need of great importance and relevance.
To conclude, we have exposed real situations that the financial system faces today in relation to operational risk, we offer you our Consulting Services, Enterprise Architecture Services and Business Processes Services.
