Senior Cyber Risk Engineer

Carnegie Mellon University

Job Location: Pittsburgh, Pennsylvania

Category: Network/System Administrator

Type: Full-Time

Cybersecurity Risk Engineers at the SEI use advanced skills in statistics, mathematics, risk analysis, systems engineering, economics and other technical fields in an interdisciplinary manner to help our government and industry mission partners to identify, research, and solve cyber security challenges. In this role, you will work with our mission partners to identify areas where advanced quantitative & technical skills can help tackle problems, plan and develop prototype solutions, and create final products designed to better manage risk. You'll work with cyber security professionals and university collaborators to build new technologies that will influence national cyber security strategies for decades to come. You will build and evaluate models, create products, conduct applied research, present findings to stakeholders, and develop transition plans for solutions to our partners.

Our team works on a wide range of projects. Our current research focus includes experimental designs for measuring cyber risk, researching methodologies for improvement of risk-based decision making, and building and evaluating models to identify security vulnerabilities. Additionally, we work on developing and conducting organizational security assessments, evaluating risk management programs, threat modeling, economics of cybersecurity and measurement. If you are an experienced researcher with an interest in risk management and cybersecurity, we want to hear from you!

As a Senior Cyber Risk Engineer, you will work directly with government, industry, and academic partners to identify, analyze, and solve complex cybersecurity risk management challenges. You will apply expertise in statistics, mathematics, risk analysis, systems engineering, and data science to develop innovative approaches for measuring, modeling, and managing cyber risk. Your work will help shape cybersecurity strategies, influence risk-based decision making, and improve the resilience of mission-critical systems and services.

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