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Qualitative Risk Assessment

Overview

A qualitative risk assessment is a method of evaluating risks based on descriptive factors rather than numerical data. Instead of assigning precise probabilities or financial values, it uses categories such as 'low,' 'medium,' or 'high' to assess the likelihood and impact of risks.
This approach relies on expert judgment, interviews, and scenario analysis to identify potential threats and vulnerabilities. In compliance and financial services, qualitative assessments are often applied during the early stages of AML, fraud prevention,and cybersecurity risk management, where exact data may be unavailable. They help banks, fintechs, and payment providers prioritize risks, design mitigation strategies, and allocate resources effectively.

FAQ

When is a qualitative approach best?
For new products, thin data, or novel fraud/AML typologies. Expert judgment bridges gaps while telemetry matures.
How do we keep it rigorous?
Use defined scales, scoring rubrics, and cross-functional sign-offs. Record assumptions and refresh on a fixed cadence.
What are common outputs?
Heat maps, prioritized remediation backlogs, and updated control standards. They feed thresholds and monitoring rules.
How does it tie to regulators?
Show methodology, governance, and linkage to KYC/AML controls. Examiners look for traceability from risk to action.
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