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Probabilistic Risk Analysis Engineer Jobs in Raleigh, NC

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

... programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis ... Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR ...

Baxter

Principal System Engineer

Raleigh, NC · On-site

$104K - $143K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Evaluate risk by using methodologies such as DFMEA and Risk/Hazard Analysis What you'll bring * 5+ years experience in a Systems Engineer, Business Analyst, System Analyst, or similar requirements ...

Baxter Healthcare

Principal System Engineer

Raleigh, NC · On-site

$104K - $143K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Evaluate risk by using methodologies such as DFMEA and Risk/Hazard Analysis What you'll bring * 5+ years experience in a Systems Engineer, Business Analyst, System Analyst, or similar requirements ...

New

Baxter International, Inc.

Principal System Engineer

Raleigh, NC · On-site

$104K - $143K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Evaluate risk by using methodologies such as DFMEA and Risk/Hazard Analysis What you'll bring * 5+ years experience in a Systems Engineer, Business Analyst, System Analyst, or similar requirements ...

Merz North America

Senior Electrical Engineer

Raleigh, NC · On-site

$95K - $123K/yr

Strong comprehension of risk management and risk analysis techniques, consistent with ISO 14971 ... Experience with engineering analysis tools such as MATLAB and Signal Integrity tools, Hyperlinx or ...

Merz North America

Senior Electrical Engineer

Raleigh, NC · On-site

$95K - $123K/yr

Strong comprehension of risk management and risk analysis techniques, consistent with ISO 14971 ... Experience with engineering analysis tools such as MATLAB and Signal Integrity tools, Hyperlinx or ...

Merz North America

Senior Electrical Engineer

Raleigh, NC

$95K - $123K/yr

Strong comprehension of risk management and risk analysis techniques, consistent with ISO 14971 ... Experience with engineering analysis tools such as MATLAB and Signal Integrity tools, Hyperlinx or ...

KBI Biopharma, Inc.

Senior Automation Engineer

Durham, NC

$100K - $131K/yr

The Facilities Engineering Department is responsible for all aspects of maintaining the site ... Support CAPA, Change Control, Deviation, Risk Analysis, Root Cause Analysis, and other Quality ...

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Probabilistic Risk Analysis Engineer information

See Raleigh, NC salary details

$36.9K

$112.6K

$186.2K

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

As of Aug 16, 2026, the average yearly pay for probabilistic risk analysis engineer in Raleigh, NC is $112,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $147,300.00 per year, depending on experience, location, and employer.

What is a probabilistic risk analysis engineer?

A Probabilistic Risk Analysis Engineer evaluates and quantifies risks in complex systems using statistical methods and mathematical models. They assess uncertainties, predict potential failures, and recommend mitigation strategies for industries such as aerospace, nuclear energy, and finance. Their work involves analyzing data, running simulations, and developing probabilistic models to improve safety, reliability, and decision-making.

What are common challenges faced by probabilistic risk analysis engineers, and how do they overcome them?

Probabilistic Risk Analysis Engineers often face the challenge of working with incomplete or uncertain data while needing to deliver precise risk assessments for critical systems. They overcome this by employing advanced statistical methods, sensitivity analyses, and by collaborating with subject matter experts across engineering, safety, and operations teams to refine models and assumptions. Clear communication is essential, as engineers must translate technical results into actionable insights for decision-makers. Staying current with industry standards and continuously improving modeling techniques also helps them address evolving project requirements. This dynamic environment supports ongoing skill development and offers opportunities for professional growth in reliability, safety, and systems engineering.

What are the key skills and qualifications needed to thrive as a probabilistic risk analysis engineer?

To thrive as a Probabilistic Risk Analysis Engineer, you need a strong background in engineering, mathematics, and statistics, often supported by a relevant degree and experience in quantitative risk assessment. Familiarity with Monte Carlo simulation tools, reliability software (such as @RISK or ReliaSoft), and professional certifications like Professional Engineer (PE) or Certified Reliability Engineer (CRE) are highly valuable. Strong analytical thinking, attention to detail, and the ability to clearly communicate complex findings to diverse stakeholders are crucial soft skills. These competencies ensure accurate risk modeling and effective collaboration with multidisciplinary teams in high-stakes engineering projects.

What are popular job titles related to Probabilistic Risk Analysis Engineer jobs in Raleigh, NC?

For Probabilistic Risk Analysis Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Probabilistic Risk Analysis Engineer jobs in Raleigh, NC are:

Probabilistic Risk Analysis Engineer jobs near you
Infographic showing various Probabilistic Risk Analysis Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $112,630 per year, or $54.1 per hour.

Model Risk Analyst

NC SECU

Raleigh, NC • Hybrid

Full-time

Re-posted 3 days ago

Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!

Position Overview:

Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.

Essential Responsibilities:

  • (40%) Execute model validation activities across the model life-cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
  • (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
  • (10%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
  • (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
  • (10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

Required Education & Experience (Knowledge, Skills, & Abilities):

  • Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field)
  • 3+ years of experience in modeling or analytics
  • Ability to assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
  • Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
  • Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc.
  • Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
  • Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation.
  • Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff.
  • Perform job functions independently with some day-to-day oversight from supervisor.

Preferred Education & Experience (Knowledge, Skills, & Abilities):

  • Masters in quantitative discipline
  • Experience in financial services or consulting industry
  • Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
  • Subject matter expertise in generative large language models (Artificial Intelligence)

Job Environment & Physical Requirements:

  • Hybrid expectations
  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.

Disclaimer

State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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