Cyber Risk Quantification Product Lead

Ocupacao; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Mastercard is seeking a Cyber Risk Quantification Product Manager to drive quantitative risk analysis and FAIR-based modeling across cybersecurity, risk, product, analytics and engineering teams.

You will translate risk concepts into clear product requirements, validate models, and document methodology; collaborate with stakeholders to make complex risk methods accessible to business and technical audiences.

Qualifications

• 5+ years of hands-on experience in cyber risk quantification, quantitative cyber risk assessment, or related cyber risk analytics roles.
• Practical experience applying FAIR-based methodologies, including FAIR, FAIR-CAM, or FAIR-MAM, to cyber risk scenarios, assessments, or product use cases.
• Experience building, calibrating, validating, or explaining quantitative risk models, including model assumptions, inputs, outputs, and limitations.
• Strong understanding of model governance, validation, documentation, assumptions management, explainability, and methodology defensibility for quantitative cyber risk models.
• Strong foundation in statistics, probability, financial impact estimation, and ROI analysis, with the ability to apply these skills to cyber risk quantification.
• Working knowledge of cybersecurity and risk management frameworks such as NIST, ISO 27000-series standards, MITRE ATT&CK, exposure management concepts, and related standards.
• Experience working with product, engineering, analytics, cybersecurity, or risk teams to translate analytical concepts into practical product requirements and supporting documentation.
• Strong analytical, problem-solving, communication, collaboration, and project management skills, with the ability to balance structured execution and creative thinking.
• Fluent in English, with the ability to explain complex cyber risk concepts clearly to both technical and non-technical audiences.

Responsibilities

• Support the development, calibration, validation, and explanation of FAIR-based cyber risk quantification and ROI models, including FAIR, FAIR-CAM, and FAIR-MAM.
• Translate cyber risk quantification methodologies into clear product requirements, analytical logic, model assumptions, and user-facing explanations.
• Apply cybersecurity, threat, exposure, control, and financial-impact concepts to support practical cyber risk quantification use cases and model inputs.
• Work with product, engineering, analytics, cybersecurity, and risk stakeholders to refine requirements, validate assumptions, and support practical application of quantitative risk capabilities.
• Maintain clear documentation that explains how models work, what assumptions are used, and how results, recommendations, and analytical outputs should be interpreted.

Skills

5+ years cyber risk quantification

FAIR-based methodologies

Product-oriented problem-solving

Tools

NIST framework

ISO 27000-series

MITRE ATT&CK

Job description

Mastercard is seeking a Cyber Risk Quantification Product Manager to drive quantitative risk analysis and FAIR-based modeling across cybersecurity, risk, product, analytics and engineering teams.

You will translate risk concepts into clear product requirements, validate models, and document methodology; collaborate with stakeholders to make complex risk methods accessible to business and technical audiences.