Cyber Risk Quantification Product Lead

Mastercard; Lisboa; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Mastercard is seeking a Cyber Risk Quantification Product Manager to lead quantitative cyber risk analysis using FAIR-based methodologies and cross-functional collaboration with cybersecurity, risk, product, analytics, and engineering teams.

The role focuses on translating cyber risk concepts into actionable product requirements, model inputs, and clear explanations for business and technical audiences, enabling scalable risk quantification capabilities.

Qualificações

• 5+ years of hands-on experience in cyber risk quantification or related analytics roles.
• Experience applying FAIR-based methodologies to cyber risk scenarios or product use cases.
• Experience building, calibrating, validating, or explaining quantitative risk models.
• Strong knowledge of model governance, validation, and documentation.

Responsabilidades

• Support development, calibration, validation, and explanation of FAIR-based cyber risk quantification and ROI models.
• Translate methodologies into clear product requirements and user-facing explanations.
• Apply cybersecurity concepts to support practical risk use cases and model inputs.
• Refine requirements with product, engineering, analytics, cybersecurity, and risk stakeholders.
• Maintain documentation that explains model workings, assumptions, and results.

Conhecimentos

Cyber risk quantification

Quantitative risk assessment

FAIR-based methodologies

ROI analysis

Statistics and modeling

Frameworks: NIST/ISO27000

Cross-functional collaboration

English fluency

Descrição da oferta de emprego

Mastercard is seeking a Cyber Risk Quantification Product Manager to lead quantitative cyber risk analysis using FAIR-based methodologies and cross-functional collaboration with cybersecurity, risk, product, analytics, and engineering teams.

The role focuses on translating cyber risk concepts into actionable product requirements, model inputs, and clear explanations for business and technical audiences, enabling scalable risk quantification capabilities.