Cyber Risk Quantification Product Manager
The Cyber Risk Quantification Product Manager will lead the development and calibration of FAIR-based cyber risk models, translating complex analytical methodologies into clear product requirements. This role involves collaborating across engineering, cybersecurity, and risk teams to build scalable, defensible risk quantification capabilities.
- Compensation
- Not disclosed
- Location
- Istanbul
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Product
- Posted
Skills
Must have
- 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.
- Experience building, calibrating, validating, or explaining quantitative risk models.
- Strong understanding of model governance, validation, documentation, and methodology defensibility.
- Strong foundation in statistics, probability, financial impact estimation, and ROI analysis.
- Working knowledge of cybersecurity and risk management frameworks such as NIST, ISO 27000-series, and MITRE ATT&CK.
- Experience translating analytical concepts into practical product requirements.
- Fluent in English.
Full description
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
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Cyber Risk Quantification Product Manager
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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.