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Probabilistic Risk Assessment Jobs in Pennsylvania

PNC Bank

LOB Risk Lead

Pittsburgh, PA

Provides credible challenge and independent assessment of technology risk exposures, risk ... Performs Monte Carlo, scenario-based, and probabilistic analyses where applicable. Supports capital ...

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Probabilistic Risk Assessment information

What are the typical daily responsibilities of someone working in Probabilistic Risk Assessment?

Professionals in Probabilistic Risk Assessment often spend their days collecting and analyzing data, developing quantitative risk models, and preparing risk reports for stakeholders. They collaborate closely with engineers, project managers, and regulatory personnel to evaluate system reliability and identify potential failure modes. Regular tasks include running simulations, updating risk assessments based on new information, and presenting findings to both technical and non-technical audiences. This role involves balancing analytical work with team-based problem solving, making it ideal for individuals who enjoy both independent analysis and collaborative projects.

What is a Probabilistic Risk Assessment job?

A Probabilistic Risk Assessment (PRA) job involves evaluating risks by using statistical methods to quantify the likelihood and consequences of potential adverse events. Professionals in this field apply mathematical models, simulations, and data analysis to assess uncertainties and improve decision-making in industries such as nuclear energy, aerospace, and finance. Their work helps organizations enhance safety measures, comply with regulations, and optimize system reliability. PRA analysts often collaborate with engineers, policymakers, and risk managers to develop strategies that mitigate potential hazards.

What are the key skills and qualifications needed to thrive in the Probabilistic Risk Assessment position, and why are they important?

To thrive in Probabilistic Risk Assessment, you need a strong background in statistics, mathematics, and risk modeling, typically supported by a degree in engineering, mathematics, physics, or a related field. Familiarity with specialized software tools like SAPHIRE, R, MATLAB, or Monte Carlo simulation packages, as well as relevant certifications such as Certified Reliability Engineer (CRE), is often required. Excellent analytical thinking, communication skills, and attention to detail are highly valued soft skills in this role. These competencies are crucial to accurately identify, quantify, and communicate potential risks, supporting informed decision-making in safety-critical industries.

What are the most commonly searched types of Probabilistic Risk Assessment jobs in Pennsylvania? The most popular types of Probabilistic Risk Assessment jobs in Pennsylvania are:
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Probabilistic Risk Assessment jobs near you
Infographic showing various Probabilistic Risk Assessment job openings in Pennsylvania as of July 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Post Doctoral Associate - Sakurahara Lab

Post Doctoral Associate - Sakurahara Lab

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Other

Posted 12 days ago

Job description

The Risk Analysis and Reliability Engineering (RARE) Laboratory at the University of Pittsburgh's Swanson School of Engineering conducts research to advance probabilistic risk assessment (PRA) to enhance the safety, efficiency, and usability of nuclear energy systems. The lab develops advanced PRA methodologies integrating physics-based simulations, Bayesian inference, and AI/machine learning tools to support risk-informed decision-making for both existing nuclear fleets and advanced reactors. Current projects include PRA for advanced reactors, integrated energy systems risk analysis, and AI-driven safety analysis tools with broad applicability across high-consequence industries.

Required Educational Background:
PhD in nuclear engineering or a relevant field (mechanical engineering, industrial engineering, etc.) with a research focus on probabilistic risk assessment and reliability engineering of nuclear energy systems.

Required Skillset:
Familiarity with nuclear power plant systems and hands-on experience with PRA software (e.g., CAFTA, SAPHIRE, and OpenPSA). Proficiency in scientific programming (e.g., Python) and exposure to AI/ML methods are required. A strong track record of publications, teamwork, proposal writing support, and mentorship is expected. 

Responsibilities:
Conduct research advancing PRA methodologies through expanded integration of physics-based simulations and AI tools. Disseminate research results through peer-reviewed journal publications and conference presentations. Support the PI in mentoring graduate and undergraduate researchers. Contribute to the development of external grant proposals.

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