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Senior Cybersecurity Engineer
Job in
Pittsburgh, Allegheny County, Pennsylvania, 15289, USA
Listed on 2026-06-28
Listing for:
Carnegie Mellon University
Full Time
position Listed on 2026-06-28
Job specializations:
-
IT/Tech
Cybersecurity
Job Description & How to Apply Below
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.
Knowledge, Skills, and Abilities:
Candidates should have experience or knowledge in several of the following:
- Understanding of risk management principles and their application to cybersecurity.
- Experience performing cyber risk analysis, risk quantification, or security measurement.
- Expertise in one or more quantitative disciplines such as statistics, mathematics, econometrics, operations research, systems engineering, data science, or machine learning.
- Experience developing and applying statistical models, predictive analytics, or simulation techniques.
- Experience with uncertainty quantification, probabilistic analysis, or decision science methodologies.
- Experience conducting threat modeling, vulnerability analysis, or security assessments.
- Knowledge of cybersecurity risk management frameworks and methodologies.
- Experience evaluating organizational cybersecurity programs and risk management practices.
- Ability to design and conduct applied research in cybersecurity, risk management, or related fields.
- Experience developing analytical tools, models, or decision-support capabilities.
- Ability to collaborate effectively within multidisciplinary teams of researchers, engineers, and cybersecurity professionals.
- Strong analytical, problem-solving, and critical-thinking skills.
- Ability to communicate complex technical concepts and analytical findings to both technical and non-technical audiences.
- Ability to work collaboratively, diplomatically, and effectively with customers, colleagues, researchers, and senior stakeholders.
- Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with ten (10) years of applicable experience; or a MS degree in a relevant discipline with eight (8) years of applicable experience; or a PhD in a relevant discipline with five (5) years of applicable experience.
- Technical Excellence: You have a track record of applying advanced analytical methods to solve complex cybersecurity challenges and delivering impactful technical outcomes. You possess expertise in one or more areas including cybersecurity risk…
Position Requirements
10+ Years
work experience
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