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Mastercard

Cyber Risk Quantification Product Manager

Mastercard is hiring a Cyber Risk Quantification Product Manager. Level rates it ; you can apply on Mastercard.

Level's read on this job

  • Little AI ●○○○ is how Level rates this cybersecurity role: aI is not part of the work.
  • The posting mentions Fair, risk analysis and product management among its tools and skills.
  • Level classes it as a mid-level role.
  • Mastercard has 1,000+ other open roles on Level.

AI in this role

Manage cyber risk quantification products using FAIR-based methodologies and quantitative risk modeling techniques.

fair
risk-analysisproduct-managementquantitative-modelingcybersecurity

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Cyber Risk Quantification Product Manager

The Cyber Risk Quantification Product Manager role is designed for a candidate with strong experience in quantitative cyber risk analysis, FAIR-based methodologies, and product-oriented problem-solving.

The role offers a unique opportunity to collaborate with leading cybersecurity, risk, product, analytics, and engineering experts within our cybersecurity products organization. The ideal candidate will combine cyber risk expertise, analytical rigor, and cross-functional collaboration skills to help develop clear, scalable, and defensible cyber risk quantification capabilities.

This role requires someone who can work across cybersecurity, risk, product, analytics, and engineering teams to translate cyber risk concepts into product requirements, analytical approaches, and clear user-facing explanations. The position is well suited for a hands-on product professional who understands quantitative risk modeling and can make complex methodologies usable for business and technical audiences.

The successful candidate will bring practical experience in cyber risk quantification, model development, model validation, financial impact analysis, and methodology documentation, with the ability to support both strategic planning and day-to-day execution.

Role Overview

The ideal candidate is a strategic and analytical thinker who combines hands-on problem-solving with strong product judgment and serves as a subject-matter expert in cyber risk quantification and cyber risk analytics, with experience applying FAIR-based models, including FAIR, FAIR-CAM, and FAIR-MAM.

The candidate will help translate cyber risk quantification methodologies, model assumptions, assessment insights, control effectiveness concepts, financial impact analysis, and loss-data considerations into clear product requirements, analytical logic, and documentation.

The right candidate understands how quantitative cyber risk assessments work in real-world environments and can use that insight to improve methodology clarity, model usability, and product applicability. The candidate is a fast learner who takes ownership, independently drives initiatives, collaborates effectively across teams, and applies a creative, solution-oriented mindset to complex cyber risk challenges.

Key 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.

Qualifications
Required 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.

Preferred Qualifications / Advantages:
• Experience applying FAIR-based methodologies in enterprise, consulting, or product environments is an advantage.
• Experience with cyber threat intelligence, exposure management, vulnerability management, control effectiveness analysis, or cyber loss data is an advantage.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.




How we rate this

Cyber Risk Quantification Product Manager at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Risk AnalysisProduct ManagementQuantitative ModelingCybersecurityFair

Also common in cybersecurity jobs at this level

Pay

Typical cybersecurity job
$159k

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Questions you could be asked

  1. Tell me about a project where risk analysis was part of your work. What did you do?
  2. Tell me about a project where product management was part of your work. What did you do?
  3. Tell me about a project where quantitative modeling was part of your work. What did you do?
  4. Tell me about a project where cybersecurity was part of your work. What did you do?
  5. Walk me through how you've used Fair in your day-to-day work.

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  • List these exact terms on your resume: Risk Analysis, Product Management, Quantitative Modeling, Cybersecurity, and Fair. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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