Head of Cybersecurity Risk Quantification

Join us, and shape the future of cyber resilience!

Kraków – based opportunity with hybrid work model (6 days/month in the office)

As a Head of Cybersecurity Risk Quantification, you will be working for our client, a globally recognized financial institution undergoing a strategic transformation to enhance its cybersecurity risk management capabilities. You are leading a multidisciplinary team in building quantitative models and scalable data pipelines to assess, simulate, and mitigate complex cybersecurity threats. You are playing a critical role in shaping the organization’s risk quantification vision, influencing executive decisions with data-driven insights, and integrating advanced analytics into enterprise risk strategies across global operations.

Your main responsibilities: Leading and mentoring a multidisciplinary team of cybersecurity risk professionals

• Collaborating with executive leadership to embed quantifiable cyber risk insights into strategy
• Supervising the development of Python-based libraries for risk modeling
• Designing and optimizing probabilistic models to quantify cybersecurity threats
• Overseeing integration of cybersecurity, financial, and operational datasets
• Presenting quantitative findings and risk projections to senior stakeholders
• Implementing scalable data pipelines using modern cloud and data engineering practices
• Driving adoption of emerging techniques to enhance risk quantification practices
• Aligning risk quantification models with enterprise risk frameworks and controls
• Acting as a key advisor on emerging cybersecurity risks and business impact

You’re ideal for this role if you have:

• Proven leadership experience managing technical teams in cybersecurity or risk domains
• Deep expertise in probabilistic risk assessment and quantitative risk modeling
• Advanced degree in statistics, physics, engineering, or computer science
• Strong Python development skills for numerical and data analysis applications
• Experience modeling non-financial risks using tools like Monte Carlo simulations or Bayesian Network)
• Familiarity with operational risk in regulated or high-stakes industries
• Knowledge of cybersecurity frameworks and practical controls
• Experience deploying machine learning models with established MLOps practices
• Strong communication skills to translate technical risk into executive-level insights
• Expertise in integrating structured/unstructured data for advanced analytics

It is a strong plus if you have:

• Experience with Spark, Databricks, and Lakehouse architecture
• Exposure to the MITRE ATT&CK framework and threat modeling concepts
• Background in actuarial science or engineering-based risk modeling
• Hands-on experience in building scalable, cloud-based risk data infrastructures
• Working knowledge of software engineering and model validation best practices

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #7234