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This document provides guidance and a survey for banks to report operational risk loss data to support the calibration of capital charges for operational risk, detailing data collection protocols
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How to fill out QIS 2 - Operational Risk Loss Data

01
Identify the business units that are required to report operational risk losses.
02
Gather relevant loss data from all operational risk events that have occurred.
03
Classify each loss according to the specific categories defined in QIS 2 guidelines.
04
Complete the data fields as per the QIS 2 template, ensuring all necessary information is included.
05
Review the filled-out data for accuracy and completeness.
06
Submit the completed QIS 2 form by the specified deadline.

Who needs QIS 2 - Operational Risk Loss Data?

01
Financial institutions that are subject to regulatory requirements for operational risk management.
02
Risk management teams within banks and financial organizations.
03
Regulators and supervisors who monitor and assess the operational risk profile of institutions.
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People Also Ask about

A Quality Information System (QIS) is an integrated set of activities that provides timely, accurate, relevant, comprehensive, and reliable information about the quality of products or services produced by organizations.
There are five categories of operational risk: people risk, process risk, systems risk, external events risk, and legal and compliance risk. People Risk – People risk is the risk of financial losses and negative social performance related to inadequacies in human capital and the management of human resources.
Operational risk usually arises from four different sources: people, processes, systems, or external events. For many aspects of operational risk, companies must simply try to mitigate the risk within each category as best as possible with the understanding that some operational risk will likely always be present.
The Basel Committee defines operational risk in Basel II and Basel III as: The risk of loss resulting from inadequate or failed internal processes, people and systems or from external events. This definition includes legal risk, but excludes strategic and reputational risk.
Operational risk usually arises from four different sources: people, processes, systems, or external events. For many aspects of operational risk, companies must simply try to mitigate the risk within each category as best as possible with the understanding that some operational risk will likely always be present.
Basel II set out seven categories of operational risk: Internal Fraud. External Fraud. Employment Practices and Workplace Safety. Clients, Products and Business Practices. Damage to Physical Assets. Business Disruption and System Failures. Execution, Delivery, and Process Management.
Basel II also mandated a standardized approach to how operational risk, market risk and credit risk are separated and quantified. Banks must meet minimum capital requirements against all three types of risk and exposures. Because operational risk is hard to quantify, gross income is generally used as a proxy for it.

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QIS 2 - Operational Risk Loss Data is a data collection initiative aimed at capturing information about operational risk losses experienced by financial institutions. It serves to enhance understanding of operational risks in the banking sector.
Typically, all banks and financial institutions that fall under the regulatory oversight of relevant financial authorities are required to file QIS 2 - Operational Risk Loss Data.
To fill out QIS 2 - Operational Risk Loss Data, institutions must collect detailed information on their operational risk losses, including the nature of the loss, amount, date, and any relevant contextual factors. They should adhere to the provided guidelines and submit the data in the specified format.
The purpose of QIS 2 - Operational Risk Loss Data is to gather comprehensive information that helps regulators assess the operational risk landscape and improve risk management practices within the financial services sector.
The information reported on QIS 2 - Operational Risk Loss Data generally includes the loss amount, loss event category, date of occurrence, business line affected, and details regarding the cause and nature of the loss.
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