Cyber Security Consultant (m/f/d) Join to apply for the Cyber Security Consultant (m/f/d) role at Munich Re, the globally leading re/insurer and market leader in cyber insurance. We continually improve our understanding of cyber risk to offer our customers the best insurance products and integrated services. About the Division The Corporate Underwriting for cyber is a department that bundles cyber‑insurance expertise to support business units in writing profitable cyber insurance and developing new cyber business fields. Corporate Underwriting holds the risk‑management function for the cyber line of business. Responsibilities include assessing accumulation potentials, maintaining portfolio transparency, and developing underwriting standards, risk models, technology solutions and services. Responsibilities Conduct comprehensive Attack Surface Assessments to identify vulnerabilities and potential entry points for threats, utilizing threat intelligence and MITRE ATT&CK frameworks. Develop methods to identify indications of compromise or vulnerabilities at scale using large industry data sets. Apply data‑science techniques—machine learning, classification, regression, clustering, and anomaly detection—to analyze and visualize complex security data. Collaborate with cross‑functional teams to identify and prioritize risks, and develop targeted risk‑mitigation strategies. Stay up‑to‑date with emerging threats, technologies and trends in cybersecurity, applying this knowledge to continually improve our security posture. Develop and deliver reports, dashboards and presentations to communicate complex security information to both technical and non‑technical stakeholders. Your Profile Strong understanding of network security fundamentals, including common attack vectors and mitigation strategies. 5+ years of experience in security engineering and/or data science. Advanced degree in Computer Science, Cybersecurity or a related field. Experience with data‑science tools and technologies, including Python, R or SQL, and familiarity with data‑visualisation platforms such as Tableau or Power BI. Knowledge of machine‑learning algorithms and statistical‑analysis techniques, including classification, regression, clustering and anomaly detection. Excellent communication and collaboration skills, with the ability to work effectively with technical and non‑technical stakeholders. Strong problem‑solving skills and the ability to analyse complex security data and develop effective risk‑mitigation strategies. Experience with incident‑response and remediation, including the incident‑response lifecycle and MITRE ATT&CK frameworks. Fluent Business English. Application Instructions Please apply through our online portal and upload your CV together with the academic reference letters, school certificates, graduation certificates and transcripts for any degrees. If applicable, also submit reference letters from previous employers or certificates of any other qualifications you may have. We recommend writing a cover letter to explain why this position and Munich Re are of interest to you. About Us Munich Re is the world’s leading reinsurance company with more than 11,000 employees across 50+ locations. By turning uncertainty into manageable risk we enable fundamental change in society. We embrace a culture where multiskilled teams dare to think big, creating the new and the different for our clients and cultivating innovation. Unlock Your Potential Diversity, Equity & Inclusion: we embrace the power of differences, fostering innovation and resilience. Continuous Learning: we believe in continuous learning as a key differentiator and a catalyst for growth. Career Mobility: we actively support career mobility, offering a wealth of opportunities worldwide. Rewards & Recognition Competitive salary that matches your expertise. State‑of‑the‑art in‑house pension solutions. Work‑life balance with flexible arrangements and occasional hybrid working. Health management initiatives that exceed legal requirements. Equal‑opportunity employer committed to fairness for all candidates, including disabled candidates when equally qualified. #J-18808-Ljbffr