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PRMIA 8020 Exam Syllabus Topics:
| Topic | Details |
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| Topic 1 | - Risk Assessment: This section of the exam measures the skills of Financial Risk Analysts and covers methodologies for evaluating risks in different domains, including qualitative and quantitative approaches. It focuses on assessing vulnerabilities, threats, and potential impacts on business operations. A key skill measured is conducting risk impact analysis for financial threats.
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| Topic 2 | - Risk Management Framework: This section of the exam measures the skills of Risk Managers and covers the development and implementation of structured approaches for risk identification, evaluation, and mitigation. It includes industry-standard frameworks that guide risk strategy and decision-making. A key skill measured is establishing a risk management framework for organizations.
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| Topic 3 | - Risk Information: This section of the exam measures the skills of Risk Managers and covers the collection, analysis, and communication of risk-related data. It highlights the role of data-driven decision-making in mitigating uncertainties and ensuring compliance. A key skill measured is interpreting risk data for informed decision-making.
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| Topic 4 | - Introduction: This section of the exam measures the skills of Risk Analysts and covers fundamental concepts of risk governance, management, and assessment. It introduces key principles, regulatory frameworks, and industry best practices for identifying and addressing risks. A key skill measured is understanding the foundational principles of risk management.
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| Topic 5 | - Case Studies: This section of the exam measures the skills of Business Risk Consultants and covers real-world applications of risk management concepts. It examines case studies on risk governance, assessment, and mitigation strategies across different industries. A key skill measured is analyzing historical risk events for strategic insights.
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| Topic 6 | - Risk Modeling: This section of the exam measures the skills of Quantitative Risk Analysts and covers mathematical and statistical techniques used to predict risk scenarios. It explores model development, validation, and application in financial and operational risk management. A key skill measured is applying statistical models for risk prediction.
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Reference: https://prmia.org/Public/Public/Resources/ORM-Certificate.aspx
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