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Probabilistic Risk Assessment Engineer Jobs in Ohio

Huntington Ingalls Industries

$77.50K - $120K/yr

This individual will be responsible for following Risk Management Framework (RMF) Assessment and ... Support system engineering and program management in conducting and reviewing milestone ...

KBR, Inc.

Title: Sr. Cybersecurity Engineer Security Controls Assessor Representative Belong. Connect. Grow ... Plans/Reports, Risk Assessment Reports, POA&Ms, Continuous Monitoring Plans, and Annual ...

Hubbell Incorporated

Senior Laboratory Engineer

Wadsworth, OH · On-site

$93.60K - $128.60K/yr

... risk assessment, validation, commissioning, and operator readiness. * Lead and sustain laboratory ... Mentor and develop laboratory engineers and technicians through technical coaching, review/approval ...

Stellantis

Plant Quality Engineer

Toledo, OH · On-site

$70.50K - $91.10K/yr

The Plant Quality Engineer (PQE) - Responsible for all aspects of product conformity for their ... Manage the implementation of Product/Process Changes through Risk Assessment and station readiness ...

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Probabilistic Risk Assessment Engineer information

What are the key skills and qualifications needed to thrive as a Probabilistic Risk Assessment Engineer, and why are they important?

To thrive as a Probabilistic Risk Assessment Engineer, you need a solid background in mathematics, statistics, and engineering principles, generally supported by a degree in engineering or a related field. Familiarity with specialized software such as SAPHIRE, RiskSpectrum, or CAFTA, as well as industry-specific standards and certifications like ASME or NRC guidelines, is typically required. Strong analytical thinking, attention to detail, and effective communication skills are essential for interpreting complex data and presenting findings to diverse stakeholders. These skills and qualifications are crucial for accurately assessing risks, ensuring regulatory compliance, and supporting the safety and reliability of critical systems.

How does a Probabilistic Risk Assessment Engineer typically collaborate with other engineering and safety teams during a project?

Probabilistic Risk Assessment Engineers frequently work in multidisciplinary teams, collaborating closely with safety engineers, systems engineers, and project managers to analyze and mitigate potential risks. They provide quantitative risk assessments that inform design decisions, operational procedures, and regulatory compliance efforts. Regular meetings and data-sharing sessions are common, ensuring that risk insights are integrated throughout the project lifecycle. This collaborative environment enables effective communication of complex risk scenarios and fosters a culture of safety and continuous improvement.

What is a Probabilistic Risk Assessment Engineer?

A Probabilistic Risk Assessment (PRA) Engineer is a professional who evaluates the likelihood and potential consequences of risks in complex systems, often in industries such as nuclear power, aerospace, or chemical processing. They use quantitative methods and statistical models to analyze possible failure scenarios and their impacts, helping organizations make informed decisions about safety and reliability. PRA Engineers play a crucial role in identifying vulnerabilities, recommending risk mitigation strategies, and ensuring compliance with regulatory standards. Their work helps minimize the chances of catastrophic failures and improves overall system safety.

What is the difference between Probabilistic Risk Assessment Engineer vs Fault Tree Analyst?

AspectProbabilistic Risk Assessment EngineerFault Tree Analyst
CredentialsEngineering degree, certifications in risk analysis or reliabilityEngineering or technical background, certifications in fault tree analysis
Work EnvironmentIndustry settings like energy, aerospace, nuclear; risk modelingSafety analysis teams, engineering departments; fault tree development
Employer & Industry UsageUsed by utilities, aerospace, nuclear plants for risk assessmentUsed in safety engineering, accident prevention, reliability studies

Both roles focus on safety and risk analysis but differ in scope. Probabilistic Risk Assessment Engineers develop comprehensive models to quantify risks, while Fault Tree Analysts focus specifically on fault tree development to identify failure pathways. The roles often collaborate but serve distinct functions within safety and reliability teams.

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What job categories do people searching Probabilistic Risk Assessment Engineer jobs in Ohio look for? The top searched job categories for Probabilistic Risk Assessment Engineer jobs in Ohio are:
What cities in Ohio are hiring for Probabilistic Risk Assessment Engineer jobs? Cities in Ohio with the most Probabilistic Risk Assessment Engineer job openings:
Probabilistic Risk Assessment Engineer jobs near you
Infographic showing various Probabilistic Risk Assessment Engineer job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.
AI Risk Manager

AI Risk Manager

TechLink Systems, Inc.

Marysville, OH

Other

Posted yesterday

Job description

JOB RESPONSIBILITIES 

  • Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks. 
  • Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs. 
  • Bridge governance strategy and execution by supporting the operationalization of AI policies and standards across business and technical teams. 
  • Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement). 
  • Maintain AI inventories, model documentation, risk registers, and audit artifacts (e.g., model cards, data lineage, controls evidence). 
  • Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements). 
  • Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations. 
  • Track AI risk metrics, incidents, and remediation actions; prepare reports for leadership, risk committees, and regulators. 
  • Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring. 
  • Assist with AI policy training, awareness, and communication to drive adoption of governance practices across the organization. 
  • Contribute to the maturation of AI governance capabilities, including tooling, automation, and integration into enterprise risk and technology processes 


What Will This Person Be Working On 
The AI Risk Management Administrator is responsible for supporting both the establishment and ongoing operation of the enterprise AI governance and risk management framework. This role plays a key part in defining, implementing, and maturing AI governance structures while ensuring AI systems are developed, deployed, and operated in alignment with regulatory requirements, ethical standards, internal policies, and the organization’s risk appetite. The Administrator partners with business, IT, legal, security, and compliance teams to operationalize governance, monitor AI risks, maintain documentation, and enable responsible and scalable AI practices across the enterprise 
WANTS 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field. 
  • 5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk). 
  • Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance). 
  • Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities. 
  • Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). 
  • Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). 
  • Strong analytical, problem-solving, and stakeholder management skills.

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