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Probabilistic Risk Assessment Engineer Jobs in Evanston, IL

... assessment methodologies to accurately calculate risk impact/severity, likelihood/occurence, and ... engineers, operators, and data scientists. Company : Tempus is a technology company advancing ...

Senior Risk Engineer- Powergen

Chicago, IL

$101K - $120K/yr

Assess operational plants and construction projects, including complex and large-scale exposures ... Experience in risk engineering, power generation, renewable energy, or a related technical field.

Head of Risk

Chicago, IL · On-site

$225K - $300K/yr

Manage counterparty credit risk assessment and ongoing monitoring for clearing members. * Develop ... with engineering, product, and commercial teams to embed risk thinking into business decisions.

... risk, measurable reduction in human review load, and structured, explainable AI-generated ... Production reliability under deterministic + probabilistic system: performance, reliability ...

Senior Cyber Risk Analyst

Chicago, IL · On-site

$110K - $130K/yr

Apply standardized risk assessment methodologies to accurately calculate risk impact/severity ... engineers, operators, and data scientists. #LI-HR1 #LI-Hybrid CHI: $110,000-$130,000 The expected ...

Senior Cyber Risk Analyst

Chicago, IL · Hybrid

$110K - $130K/yr

Apply standardized risk assessment methodologies to accurately calculate risk impact/severity ... engineers, operators, and data scientists. #LI-HR1 #LI-Hybrid CHI: $110,000-$130,000 The expected ...

Sr Principal Engineer

Chicago, IL · On-site

$129K - $178K/yr

... Risk Assessment, and Compliance Monitoring processes. • Deliver end-to-end implementations within the ServiceNow platform, with a focus on IRM/GRC solutions. • Drive integration efforts between ...

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Probabilistic Risk Assessment Engineer information

See Evanston, IL salary details

$36.5K

$111.2K

$183.8K

How much do probabilistic risk assessment engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for probabilistic risk assessment engineer in Evanston, IL is $111,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $145,400.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Probabilistic Risk Assessment Engineer jobs in Evanston, IL look for? The top searched job categories for Probabilistic Risk Assessment Engineer jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Probabilistic Risk Assessment Engineer jobs? Cities near Evanston, IL with the most Probabilistic Risk Assessment Engineer job openings:
Infographic showing various Probabilistic Risk Assessment Engineer job openings in Evanston, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,190 per year, or $53.5 per hour.
Credit Risk Strategist, Risk Foundations

Credit Risk Strategist, Risk Foundations

Stripe

Chicago, IL • On-site, Remote

Full-time

Posted 26 days ago


Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Risk Foundations is a small, high-leverage team with a mandate to maximize enterprise value for Stripe by managing risk across the user lifecycle. Whether we're evaluating net-new opportunity areas, investigating existential threats, or finding ways to unlock value in the existing business, we approach problems with rigor, nuance, and intellectual humility. If you're excited to shape the infrastructure that powers safe, sustainable growth for millions of businesses, we encourage you to apply.
What you'll do
Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company's financial and partnership success. As a Strategist on the Risk Foundations team, you'll help manage a rapidly growing merchant portfolio by guiding the credit strategy and devising growth-friendly solutions that reduce overall credit risk. This is a high-impact role that involves cross-functional partnership with Data Science, Engineering, Product, and Operations.
Responsibilities
  • Develop scalable methods to identify, measure, and control end-to-end risks (including Credit and Fraud) across the user lifecycle-this will involve identifying and shaping crucial risk management systems including in-product and back-end controls, use of external risk assessment tools, and implementation of rule-based and model-based detection systems
  • Proactively identify risk management opportunities, outline the strategy, and translate complex requirements into technical specifications, which include shipping code to enable rapid iteration of risk strategy
  • Work closely with Product, Engineering, and Data Science teams to shape product offerings and develop data-driven, globally scalable systems and processes that combine strong risk management fundamentals with seamless user experiences
  • Become an expert on the global ecosystem of Stripe products, integrations, tools, and partner requirements, and how those elements interact with payment risks
  • Develop strong internal relationships across partner teams (Data Science, Product, Engineering, Treasury, Sales, Operations, and Finance)
  • Challenge the payments industry status quo to help enable innovative businesses to flourish online
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • 5+ years of relevant experience with financial risk modeling
  • A builder's mindset with a willingness to question assumptions and conventional wisdom
  • You're well versed in data analysis and modeling, and able to frame business decisions and tradeoffs effectively through quantitative analysis and visualization
  • Ability to work effectively across teams, building strong working relationships in order to successfully execute on shared deliverables
  • Decisive, yet open to learning, you'll make many critical decisions every day impacting large numbers of merchants and quickly learn and iterate from these experiences
  • Understanding and empathetic to the challenges of setting up a new business, you'll thoughtfully balance scaled enforcement decisions with user experience
  • An enthusiastic, hands-on mentality
  • Experience with SQL required
  • Bachelor's degree in Economics, Statistics, Computer Science, Engineering, or other quantitative or related field
Preferred qualifications
  • Experience with Python
  • Demonstrated experience working in fast-paced, highly ambiguous environments
  • Familiarity with LLM agents and how they augment risk management practices