Lead Cybersecurity Risk Quantification

Hi! We are looking for a Lead Cybersecurity Risk Quantification

Project industry: IT / Banking

Work model: Hybrid – office visits 6 x month in Krakow/ Warsaw

WHO WE ARE

ALTEN – A Global Leader in Engineering and IT Services

Founded in France in 1988, the ALTEN Group is a leading technological partner serving the world’s largest clients. In 2024, it achieved revenues exceeding €4.14 billion and employs over 57,700 people, 88% of whom are engineers and IT experts.


ABOUT THE ROLE

The Lead of Cybersecurity Risk Quantification will be responsible for leading our cybersecurity risk quantification initiatives, ensuring that the organization’s risk posture is clearly understood, measurable, and actionable. You will apply cutting-edge probabilistic risk assessment methodologies, lead a talented team of risk professionals, data scientists, threat hunters and data engineers, and drive the development of innovative risk models that enhance our ability to forecast and mitigate cybersecurity risks.

The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundations

Required Skills

The successful candidate will possess skills and experience within one or more of the following areas and demonstrate a willingness to learn additional skills via certification and/or on-the-job learning where required. 

Leadership

§  Lead and mentor a high-performing, multidisciplinary team of cybersecurity risk professionals, including data scientists, threat hunters, and data engineers.

§  Collaborate with executive leadership to integrate quantitative risk insights into enterprise risk management frameworks and decision-making processes.

§  Implement a vision for cybersecurity risk quantification that aligns with the broader risk management strategy.

§  Present findings and recommendations to senior leadership in a clear, data-driven manner.

§  Act as a key advisor to the regional and business lines on emerging cybersecurity risks and their quantifiable impacts.

Risk Quantification & Analytics

§  Supervise the development and optimization of Python-based libraries and tools for cybersecurity risk modeling.

§  Design and implement probabilistic risk assessment models to quantify cybersecurity threats, vulnerabilities, and impacts on the organization using advanced statistical techniques.

§  Continuously explore new techniques that can advance cybersecurity risk quantification practices.

§  Architect and implement scalable data pipelines for cybersecurity data using cloud platforms and modern data engineering practices.

Education and Experience:

The successful candidate will possess:

§  Leadership experience with a proven track record of mentoring and growing technical teams.

§  Extensive experience in quantitative risk modelling in a regulated industry or in actuarial sciences.

§  Advanced degree in math, physics, statistics/data science, computer science, or a related engineering field. A Ph.D. is a preferred.

§  Proven experience in quantitative modelling of non-financial risks, using probabilistic risk assessment techniques such as decision trees, fault trees, Bayesian Networks, Markov Decision Processes (MDPs) and Structured Scenario Analysis including Monte Carlo simulations or similar.

§  Experience in Operational Risk modelling in the financial services industry is preferred, but experience in the engineering industry will also be recognized.

§  Hands-on experience in developing decision analysis models.

§  Strong experience in developing complex numerical solutions using Python.

§  Advanced statistical and data analysis skills are essential.

§  Strong understanding of cybersecurity frameworks, practical knowledge of various cybersecurity controls, familiarity with MITRE ATT&CK framework, and exposure to threat modelling concepts.

§  Proven experience in deploying Machine Learning models into production, with strong familiarity with best MLOps practices.

§  Hands-on experience with data engineering tools preferably Spark, Lakehouse architecture, and Databricks.

§  Knowledge of good software engineering practices.

§  Strong communication and presentation skills, with the ability to translate complex risk metrics into business-relevant insights.

What we offer

• Full-time contract with flexibility to choose UoP or B2B

• Stable and long-term cooperation in a growing team

• Access to certifications and training opportunities

• Participation in internal workshops, events, and knowledge-sharing sessions

• Possibility to relocate between ALTEN Polska locations

Benefits

• Medicover medical and dental care

• Medicover Sport / benefits platform

• Group life insurance & pension scheme

• Employee referral program

• Layette for newborns

NOTICE: We kindly inform you that we will contact only selected candidates.