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Probabilistic Risk Assessment Engineer Jobs in Massachusetts

Visa Hunt

Head of Enterprise Risk

Boston, MA · On-site

$280K - $340K/yr

Our team is a quickly growing group of committed researchers, engineers, policy experts, and ... Own Anthropic's enterprise risk framework -- identify, assess, and prioritize enterprise risks, and ...

IPG Photonics

Senior Electrical Engineer

Marlborough, MA · On-site

$111K - $145K/yr

Perform and document Risk Assessments during design of systems. * Collaborate with Simulation, Design and Project team personnel to complete assignments. * Lead and participate in cross-functional ...

IPG Photonics

Senior Electrical Engineer

Marlborough, MA · On-site

$93K - $123K/yr

Perform and document Risk Assessments during design of systems. * Collaborate with Simulation, Design and Project team personnel to complete assignments. * Lead and participate in cross-functional ...

IPG Photonics

Senior Electrical Engineer

Marlborough, MA · On-site

$111K - $145K/yr

Perform and document Risk Assessments during design of systems. * Collaborate with Simulation, Design and Project team personnel to complete assignments. * Lead and participate in cross-functional ...

IPG Photonics

Senior Electrical Engineer

Marlborough, MA · On-site

$111K - $145K/yr

Perform and document Risk Assessments during design of systems. * Collaborate with Simulation, Design and Project team personnel to complete assignments. * Lead and participate in cross-functional ...

Stantec

Water Resources Engineer

Northampton, MA · On-site

$78K - $107K/yr

Flood risk assessment * Coastal resilience * Stream restoration and enhancement. * Writing and preparation of documentation and engineering design materials * Hydrologic/hydraulic modeling #J-18808 ...

CarGurus

Application Security Engineer I

Boston, MA · On-site

$63.75 - $85.25/hr

Support threat modeling and security risk assessments for CarGurus applications and products * Assist in training developers on secure coding, AI-assisted development, and secure SDLC practices

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Probabilistic Risk Assessment Engineer information

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.

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 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.

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.

What are popular job titles related to Probabilistic Risk Assessment Engineer jobs in Massachusetts?

For Probabilistic Risk Assessment Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Probabilistic Risk Assessment Engineer jobs in Massachusetts look for?

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What cities in Massachusetts are hiring for Probabilistic Risk Assessment Engineer jobs?

Cities in Massachusetts 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 Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

PhD Graduate Intern Quantitative Portfolio Risk Analytics

Cambridge, MA • On-site

RiskAnalytics
See more jobs at RiskAnalyticsexternal

Other

Re-posted 11 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview

We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.

We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.

Key Responsibilities

Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches

Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk

Design and implement analytical tools and pipelines using Python and SQL

Contribute to model validation, backtesting, and performance evaluation

Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure

Communicate complex quantitative insights through clear visualizations and technical summaries

Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics

Required Qualifications

Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)

Strong foundation in probability, statistics, and numerical methods

Proficiency in Python (NumPy, pandas, or similar) and/or SQL

Experience working with large datasets and implementing quantitative models

Ability to think rigorously about complex systems and translate theory into practical solutions

Preferred Qualifications

Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)

Experience with scientific computing, optimization, or machine learning

Background or research in cross-disciplinary areas such as:

Statistical physics, complex systems, or network theory

Applied or computational mathematics

Machine learning or probabilistic modeling

Quantum computing or advanced optimization techniques

Topological data analysis or geometric data methods

Prior research, publications, or project work demonstrating advanced quantitative modeling

What You’ll Gain

Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics

Opportunity to apply cutting-edge academic methods in a production environment

Collaboration with a highly quantitative, cross-disciplinary team

Experience working with large-scale financial data and modern analytics infrastructure

Mentorship and potential pathway to full-time quantitative roles

Duration & Compensation

Internship: Summer 2026, with potential to extend

Paid internship (competitive, based on experience and location)

Apply