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Contract Probabilistic Risk Analysis Engineer Jobs in North Carolina

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 ...

US Bank

Fraud Risk Analyst

Charlotte, NC

SAS programming experience is required for this position NOTE: This position is not eligible for current or future visa sponsorship. The Fraud Risk Analyst develops data-driven insights and ...

Bank of America

Risk Process Analyst

Charlotte, NC · On-site

$65K - $87K/yr

This position provides opportunities to build expertise in risk management, process analysis ... Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering ...

Bank of America

Risk Process Analyst

Charlotte, NC · On-site

$65K - $87K/yr

This position provides opportunities to build expertise in risk management, process analysis ... Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering ...

Procom Consultants Group

Network Engineer

Durham, NC · On-site

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ... Network security * Risk analysis * Routing protocols - BGP - OSPF - STP - IPV6 - MPLS

Procom Consultants Group

Network Security Engineer

Durham, NC · On-site

$101K - $138K/yr

... Systems Analysis Datawarehouse & Business Intelligence Infrastructure & Network Services Risk ... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ...

Procom Consultants Group

Network Security Engineer

Durham, NC · On-site

$101K - $138K/yr

... Systems Analysis Datawarehouse & Business Intelligence Infrastructure & Network Services Risk ... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ...

Toyota

Engineer Race Strategy

Salisbury, NC

... risk/reward tradeoffs for various race strategies. * Utilize data science techniques to analyze ... Experience with probabilistic programming and machine learning frameworks, such as PyTorch, PyMC ...

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Contract Probabilistic Risk Analysis Engineer information

What is a contract probabilistic risk analysis engineer?

A Contract Probabilistic Risk Analysis Engineer is a professional hired on a contractual basis to assess and quantify risks in engineering projects using probabilistic methods. They use statistical models and simulations to predict the likelihood and potential impact of various risks, helping organizations make informed decisions. These engineers often work in industries like energy, aerospace, or construction, and their analysis supports project safety, reliability, and cost-effectiveness. Their expertise helps organizations mitigate uncertainties and optimize project outcomes.

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

To thrive as a Contract Probabilistic Risk Analysis Engineer, you need a solid background in engineering, mathematics, and statistics, often supported by a relevant degree and experience with risk analysis methodologies. Familiarity with technical tools such as Monte Carlo simulation software, fault tree analysis programs, and industry-specific risk assessment platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings to stakeholders. These competencies are crucial for accurately identifying and mitigating risks in projects, ensuring safety, compliance, and project success.

What are some common challenges faced by contract probabilistic risk analysis engineers, and how can they be addressed?

Contract Probabilistic Risk Analysis Engineers often face the challenge of quickly integrating into new teams and projects, requiring rapid understanding of industry-specific risk models and standards. Balancing diverse stakeholder expectations, tight deadlines, and incomplete data sets can add complexity to analysis tasks. To address these challenges, effective communication, adaptability, and strong analytical skills are essential. Leveraging standard risk analysis frameworks and maintaining clear documentation can also help ensure consistency and accuracy in deliverables.

What is the difference between Contract Probabilistic Risk Analysis Engineer vs Contract Reliability Engineer?

AspectContract Probabilistic Risk Analysis EngineerContract Reliability Engineer
CredentialsTypically requires engineering degrees, certifications in risk analysis or reliability (e.g., ASQ, IRCA)Requires engineering degrees, certifications in reliability or maintenance (e.g., CRE, RCM)
Work EnvironmentFocuses on risk modeling, probabilistic assessments, often in industries like energy, aerospaceFocuses on system reliability, maintenance strategies, often in manufacturing, utilities
Industry UsageCommon in nuclear, aerospace, oil & gas sectorsCommon in manufacturing, power plants, industrial facilities

The Contract Probabilistic Risk Analysis Engineer specializes in quantitative risk modeling using probabilistic methods, while the Contract Reliability Engineer emphasizes system reliability and maintenance strategies. Both roles require engineering backgrounds but focus on different aspects of safety and system performance within similar industries.

What are the most commonly searched types of Probabilistic Risk Analysis Engineer jobs in North Carolina?

The most popular types of Probabilistic Risk Analysis Engineer jobs in North Carolina are:

What are popular job titles related to Contract Probabilistic Risk Analysis Engineer jobs in North Carolina?

For Contract Probabilistic Risk Analysis Engineer jobs in North Carolina, the most frequently searched job titles are:

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What cities in North Carolina are hiring for Contract Probabilistic Risk Analysis Engineer jobs?

Cities in North Carolina with the most Contract Probabilistic Risk Analysis Engineer job openings:

Contract Probabilistic Risk Analysis Engineer jobs near you

Model Risk Analyst

NC SECU

Raleigh, NC • Hybrid

Full-time

Re-posted 9 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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