Cyber Risk Engineer

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 clients research and solve cyber security challenges. In this role, you will work with our customers 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 strategy for decades to come. You will build models, create products, conduct applied research, and present findings to stakeholders.

Our team works on a wide range of projects. Some of our current work includes experimental designs for measuring cyber risk, researching methodologies for improvement of risk-based decision making, and building models to identify security vulnerabilities. Additionally, we work on organizational security assessment, risk management, 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!

Requirements:
•    BS in, computer science, statistics, engineering, mathematics or related highly-quantitative discipline with 8 years of experience or equivalent combination of training or experience; or MS in computer science, statistics, engineering, mathematics, or related highly-quantitative discipline with 5 years of experience; or PhD in computer science, statistics, economics, mathematics, or related highly-quantitative discipline with 2 years of experience.
•    Willingness to complete periodic travel to various locations to support the SEI’s overall mission.
•    You will be subject to a background investigation and you must have the ability to obtain and maintain a U.S. Department of Defense security clearance.
•    Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
 

Knowledge, Skills and Abilities:
•    Understanding of risk as it relates to cybersecurity
•    Innovative and inquisitive with ability to imagine novel analytical solutions to problems
•    Expertise in one or more of the following: statistics, mathematics, systems engineering, risk quantification, econometrics, and data science

•    Understanding of statistical modeling techniques and advanced data analytics
•    Thrives in a multi-disciplinary environment
•    Strong written and verbal communication skills
 

Desired Experience:
•    Experience in risk quantification

•    Experience in econometrics

•    Experience in uncertainty quantification and risk analysis

•    Experience in modeling, data science, or machine learning
•    Experience in modeling and simulation

•    Demonstrated ability to learn new concepts and grow into new areas of work

•    Experience supporting test and evaluation for large-scale government research programs is a plus

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full time/Part time

Full time

Pay Basis

Salary
More Information: 

• Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. 

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. 

• Statement of Assurance