"Mastering DORA: Your Toolkit for ICT Risk Management in Finance" Knowing how to manage ICT risks is a superpower. Here are 5 key elements of the DORA Risk Management Requirements. The Commission Delegated Regulation (EU) 2024/1774 strengthens digital operational resilience for financial institutions. How to use it: 1. Comprehensive Risk Assessment: Continuous identification of vulnerabilities and threats is required. Entities must use quantitative or qualitative indicators to assess the impact and likelihood of these risks. 2. Risk Tolerance Levels: Institutions must establish risk tolerance levels, ensuring risks are managed within defined limits. These thresholds guide decision-making and the implementation of mitigation strategies. 3. Risk Treatment & Mitigation: Financial entities must implement measures to address identified risks. Any residual risks exceeding tolerance levels must be documented and reassessed annually. 4. Continuous Monitoring: Constant vigilance over internal and external risks is crucial, ensuring that the risk management approach is adaptable and responsive to evolving threats. 5. Governance: Clear assignment of roles and responsibilities is vital, ensuring accountability and the segregation of duties to prevent conflicts of interest. This regulation drives a proactive and structured approach to ICT risk management, ensuring financial stability and resilience.
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The areas of risk management can be categorized into several key domains. Here are some of the main areas of risk management: 1. Strategic Risk Management: Aligning risk management with organizational strategy and objectives. 2. Operational Risk Management: Managing risks associated with day-to-day business operations. 3. Financial Risk Management: Managing financial markets, credit, and liquidity risks. 4. Compliance Risk Management: Ensuring adherence to laws, regulations, and industry standards. 5. Reputation Risk Management: Protecting the organization's brand and reputation. 6. Cybersecurity Risk Management: Managing information technology and data security risks. 7. Environmental Risk Management: Managing environmental impact and sustainability risks. 8. Supply Chain Risk Management: Managing risks associated with the supply chain and third-party vendors. 9. Business Continuity Risk Management: Ensuring continuity of operations during disruptions or crises. 10. Enterprise Risk Management: Integrating risk management across the entire organization. These areas are not mutually exclusive, and effective risk management often involves coordination and overlap between them.
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Operational Risk Management (ORM) Framework is designed to identify, assess, manage, and mitigate risks that arise from operational processes and systems. The core points include: 1. **Risk Identification**: Identifying potential risks that could disrupt operations, including process failures, system breakdowns, human errors, and external events. 2. **Risk Assessment**: Evaluating the likelihood and potential impact of identified risks using qualitative and quantitative methods. 3. **Risk Mitigation**: Developing strategies to reduce the likelihood or impact of risks, such as implementing controls, policies, and procedures. 4. **Monitoring and Reporting**: Continuously monitoring risk exposure and the effectiveness of mitigation strategies, and reporting on risk status to stakeholders. 5. **Incident Management**: Establishing processes to manage and respond to operational risk incidents, including root cause analysis and corrective actions. 6. **Governance and Culture**: Ensuring strong governance and fostering a risk-aware culture within the organization, with clear roles and responsibilities for managing operational risk. 7. **Continuous Improvement**: Regularly reviewing and updating the ORM framework to adapt to changes in the operating environment and improve risk management practices. This framework helps organizations minimize disruptions, maintain business continuity, and enhance resilience against operational risks.
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Effective Risk Management in both financial and non-financial institutions shares several commonalities: 1.Identification of Risks: Both types of institutions need to identify potential risks that could impact their operations, whether they are financial risks such as market, credit, or liquidity risks, or non-financial risks such as operational, legal, regulatory, or reputational risks. 2. Assessment and Evaluation: Once risks are identified, both types of institutions need to assess and evaluate the likelihood and potential impact of these risks on their objectives and operations. 3. Risk Mitigation Strategies: Financial and non-financial institutions alike develop strategies to mitigate identified risks. These strategies may involve risk avoidance, risk reduction, risk transfer, or risk acceptance depending on the nature of the risk and the institution's risk appetite. 4. Monitoring and Control: Both types of institutions implement monitoring and control mechanisms to track the effectiveness of their risk management strategies and to ensure that risks are kept within acceptable levels. 5.Compliance and Governance: Financial and non-financial institutions must adhere to regulatory requirements and governance standards related to risk management. This includes establishing policies, procedures, and internal controls to manage risks effectively. 6.Crisis Management and Contingency Planning: Both types of institutions need to have plans in place to address crises and unexpected events that could disrupt their operations or threaten their viability. 7.Risk Culture and Awareness: Developing a strong risk culture and promoting risk awareness among employees is essential for both financial and non-financial institutions to ensure that risk management practices are embedded throughout the organization. By addressing these commonalities, institutions can enhance their ability to identify, assess, mitigate, and monitor risks effectively, regardless of whether they operate in the financial or non-financial sector.
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I have often been asked how data analytics can support risk management. Here are some ways data analytics can contribute to risk management: 💥 Early Detection of Risks: With real-time monitoring and advanced analytics tools, organisations can quickly detect emerging risks and respond promptly to prevent escalation. This enables more timely risk mitigation and better overall risk management. 💥 Benchmarking and Performance Measurement: Data analytics can be used to establish benchmarks and track key performance indicators (KPIs) related to risk management. This allows organisations to measure the effectiveness of their risk management strategies and make necessary adjustments for continuous improvement. 💥 Identifying Opportunities: Data analytics can also help organisations identify opportunities to improve risk management processes, reduce costs, or seize new opportunities. By analysing data from various sources, organisations can gain a holistic view of their risk environment and develop more targeted strategies to optimise their risk management efforts. In summary, data analytics is a powerful tool that can support risk management by enabling more accurate risk identification, predictive analysis, informed decision-making, early detection of risks, and effective benchmarking. By leveraging data analytics, organisations can improve their overall risk management capabilities and better protect their stakeholders' interests.
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Global Risk Management System " GRMS", It refers to a system or framework that organizations use to identify, assess, and mitigate risks on a global scale. This system helps organizations monitor and manage risks across different regions, departments, and business units to ensure the overall stability and resilience of The irgsnization. GRMS provides organizations with a structured approach to identify, assess, and manage risks on a global scale. It helps organizations proactively identify potential risks, evaluate their potential impact, and implement appropriate risk mitigation strategies. GRMS system aims to enhance the organization's ability to anticipate and respond to risks, minimize their negative impact, and protect the organization's assets, reputation, and stakeholders. By implementing a comprehensive risk management system, organizations can improve their decision-making processes, increase operational efficiency, and ensure business continuity in the face of potential risks and uncertainties. " GRMS" Examples: - SAP Risk Management. - MetricStream Risk Management. - Archer by RSA. - Resolver Risk Management. - Logic-Gate Risk Cloud
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I have often been asked how data analytics can support risk management. Here are some ways data analytics can contribute to risk management: 💥 Early Detection of Risks: With real-time monitoring and advanced analytics tools, organisations can quickly detect emerging risks and respond promptly to prevent escalation. This enables more timely risk mitigation and better overall risk management. 💥 Benchmarking and Performance Measurement: Data analytics can be used to establish benchmarks and track key performance indicators (KPIs) related to risk management. This allows organisations to measure the effectiveness of their risk management strategies and make necessary adjustments for continuous improvement. 💥 Identifying Opportunities: Data analytics can also help organisations identify opportunities to improve risk management processes, reduce costs, or seize new opportunities. By analysing data from various sources, organisations can gain a holistic view of their risk environment and develop more targeted strategies to optimise their risk management efforts. In summary, data analytics is a powerful tool that can support risk management by enabling more accurate risk identification, predictive analysis, informed decision-making, early detection of risks, and effective benchmarking. By leveraging data analytics, organisations can improve their overall risk management capabilities and better protect their stakeholders' interests.
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Are you familiar with GRC? It stands for Governance, Risk, and Compliance, and it's a framework that organizations use to manage and align these three critical components in a cohesive manner to achieve business objectives while ensuring adherence to regulations, policies, and best practices. Governance refers to the system of processes, practices, and policies that guide and control an organization's operations and decision-making processes. Effective governance ensures that resources are used efficiently, risks are managed appropriately, and organizational goals are achieved. Risk management involves identifying, assessing, and mitigating risks that could potentially impact the achievement of an organization's objectives. A robust risk management process involves evaluating the likelihood and potential impact of risks, implementing controls to reduce their probability or severity, and regularly monitoring and reviewing risk exposure. Compliance refers to the adherence to laws, regulations, industry standards, and internal policies relevant to an organization's operations. Compliance efforts typically involve staying up-to-date with regulatory changes, conducting audits and assessments to ensure adherence, and implementing controls to address any gaps or deficiencies. By integrating governance, risk management, and compliance, organizations can enhance transparency, accountability, and resilience, while also fostering a culture of ethical conduct and responsible decision-making. GRC frameworks may vary in complexity depending on the size, nature, and regulatory environment of the organization, but they all share the common goal of promoting sustainable business practices and minimizing risk exposure.
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What happenes when a company has experienced collapse of its Risk Management Function (RMF)? This can have severe consequences for an organisation and lead to significant financial losses, reputational damage, legal liabilities, and other negative impacts. Here are some steps that organisations can take to prevent such situations from occurring and recover if they do happen: 💥 Evaluate existing risk management practices: Conduct a thorough review of the current risk management processes, policies, procedures, and tools. Identify gaps and weaknesses that contributed to the collapse of the RMF. 💥 Develop a comprehensive enterprise-wide risk management framework: Establish clear guidelines for identifying, assessing, monitoring, reporting, and managing risks across all levels of the organisation. Ensure alignment with industry best practices and regulatory requirements. 💥 Strengthen risk governance structures: Clearly define roles and responsibilities for risk management at various organisational levels. Create independent oversight bodies, such as board committees or internal audit functions, to ensure accountability and effective decision-making related to risk exposures. 💥 Foster a strong risk culture: Encourage open communication about potential threats and opportunities throughout the organisation. Empower employees to raise concerns without fear of retribution and provide them with appropriate training on how to identify and manage risks effectively. 💥 Implement robust risk identification and assessment techniques: Utilise qualitative and quantitative approaches to identify and evaluate both known and emerging risks. Monitor external factors, such as market trends, technological advancements, geopolitical events, and legislative changes, which may affect the company's operations. 💥 Continuously monitor and report risks: Set up regular risk monitoring processes and establish key performance indicators (KPIs) to track progress in mitigating identified risks. Regularly communicate updates on the status of these risks to relevant stakeholders within the organisation.
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Risk Control Self-Assessment (RCSA) and OSFI Regulations The Risk Control Self-Assessment (RCSA) is a vital process for financial institutions to identify, evaluate, and manage operational risks. When aligned with Office of the Superintendent of Financial Institutions (OSFI) guidelines, RCSA strengthens operational resilience and regulatory compliance. What is RCSA? RCSA involves: 1. Identifying risks tied to processes, systems, and operations. 2. Assessing controls to mitigate those risks. 3. Developing plans to address gaps or weaknesses. This approach helps institutions proactively manage risks and maintain operational integrity. OSFI’s Expectations OSFI’s guidelines emphasize robust risk management practices for federally regulated financial institutions (FRFIs). Relevant guidelines include: 1. Guideline E-21: Operational Risk Management - Calls for processes to identify, assess, and mitigate risks. - RCSA enables evaluation of risk exposures and control environments. 2. Guideline B-10: Third-Party Risk Management - Focuses on managing risks from vendors. RCSA can assess these relationships to ensure adequate controls. 3. Guideline B-13: Technology and Cyber Risk Management - Highlights the importance of identifying technology and cybersecurity risks. RCSA can incorporate IT system evaluations to align with these standards. Supporting OSFI Compliance with RCSA 1. Proactive Risk Identification RCSA identifies risks affecting operational resilience, a key OSFI priority. 2. Control Validation It ensures controls meet OSFI’s expectations for mitigating risks, such as those tied to technology or third-party dependencies. 3. Continuous Improvement RCSA findings help address weaknesses, enhance strategies, and improve governance structures, supporting OSFI’s risk management principles. Best Practices for RCSA 1. Cross-Functional Integration: Involve multiple teams for a comprehensive risk view. 2. Data-Driven Insights: Use analytics to enhance risk assessments. 3. Regular Updates: Conduct periodic RCSAs to address emerging risks and changes. 4. Focus on Resilience: Prioritize risks impacting critical operations. Conclusion RCSA is more than a compliance exercise—it is a strategic tool for building resilience and fostering a proactive risk management culture. By aligning RCSA with OSFI guidelines, financial institutions enhance operational stability, regulatory adherence, and customer trust.
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Thankyou Iyappan Kannan for the insightful article
Founder| Practicing Company Secretary| Corporate Leader| Internal Auditor| Board Member| Strategist| Former Director & CFO| Expert-Corporate Compliance & Regulatory (Company Law, RBI,SEBI)| Expert CSR, ESG& Social Audit|
GRC audit overview! GRC audit refers to the audit of Governance, Risk, and Compliance (GRC) processes within an organization. It ensures that the company’s governance practices, risk management strategies, and compliance mechanisms are effective and aligned with regulatory and internal standards. Here's a breakdown: Governance (G): The system of rules, practices, and processes by which a company is directed and controlled. A GRC audit checks if the company has a solid governance framework in place, ensuring accountability and transparency in decision-making. Risk Management (R): Identifying, analyzing, and addressing risks that could impact the organization’s objectives. The audit reviews the effectiveness of the company’s risk management strategies and processes, ensuring that risks are identified, assessed, and mitigated. Compliance (C): Ensuring that the company follows all relevant laws, regulations, policies, and procedures. A GRC audit assesses how well the company adheres to regulatory requirements and internal policies, ensuring compliance with both legal obligations and ethical standards. In summary, a GRC audit ensures that a company is well-governed, its risks are effectively managed, and it complies with all necessary regulations and policies.
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