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Contract Model Risk Governance Jobs in Raleigh, NC

NC SECU

Model Risk Governance Manager

Raleigh, NC · Hybrid

Partner with technology, privacy, operational, and compliance risk leaders to ensure AI risk practices are well-integrated. * (10%) Manage and develop model risk and AI risk governance staff. * (10%) ...

Truist

Sr. Audit Manager - Quant

Raleigh, NC

... model risk governance and oversight for various model types. 7. Train/coach/mentor junior team members to enhance model audit work. Provide training on more complex and difficult areas.

Truist

Quant Audit Manager

Raleigh, NC · On-site

$101K - $132K/yr

... guidance on model risk governance and oversight for various model types. 7. Provide leadership and train/coach/mentor junior team members to enhance achievement of goals and objectives.

Analogdevices

AI Governance Analyst

Durham, NC

AI Governance Analyst About the Role An AI Governance Analyst helps an organization build, monitor ... Support model risk management processes, including documentation, validation, and lifecycle ...

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Contract Model Risk Governance information

See Raleigh, NC salary details

$9

$44

$138

How much do contract model risk governance jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for contract model risk governance in Raleigh, NC is $44.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $70.10 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Contract Model Risk Governance roles, and how can they be addressed?

Professionals in Contract Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring thorough model documentation, and effectively communicating risk findings to both technical and non-technical stakeholders. Balancing the need for detailed model validation with tight project timelines can also be demanding. To address these challenges, it's important to foster strong cross-functional collaboration, stay updated on industry best practices, and develop clear communication strategies for reporting risk and compliance issues.

What is the difference between Contract Model Risk Governance vs Contract Model Validation?

AspectContract Model Risk GovernanceContract Model Validation
Primary FocusOverseeing and managing risks associated with contract models, ensuring compliance and risk mitigationAssessing and testing contract models to ensure accuracy and reliability
ResponsibilitiesEstablishing policies, monitoring risk exposure, and implementing controlsPerforming independent reviews, testing model assumptions, and validating outputs
Work EnvironmentRisk management teams, compliance departments, regulatory interactionsQuantitative teams, model validation units, audit functions

While Contract Model Risk Governance focuses on managing and overseeing risks related to contract models, Contract Model Validation involves the technical assessment and testing of those models to ensure their accuracy and reliability. Both roles are essential in a comprehensive risk management framework within financial institutions and industries relying on contract models.

What are the key skills and qualifications needed to thrive in Contract Model Risk Governance, and why are they important?

To excel in Contract Model Risk Governance, you need a strong background in risk management, quantitative analysis, and familiarity with regulatory requirements, often supported by a degree in finance, mathematics, or a related field. Proficiency with risk management software, model validation tools, and knowledge of frameworks such as SR 11-7 is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for evaluating model risk and collaborating with stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and support sound decision-making within financial institutions.

What is Contract Model Risk Governance?

Contract Model Risk Governance refers to the framework and processes used by organizations to identify, assess, monitor, and mitigate risks associated with the use of models in contracts or contractual obligations. This role ensures that the use of quantitative models in financial and business contracts complies with regulatory standards and internal policies, reducing the likelihood of errors, misinterpretations, or financial losses. Professionals in this field often oversee model validation, implementation, and documentation, and work closely with compliance, risk, and legal teams. Effective governance helps maintain model integrity and supports sound decision-making across the organization.
What are popular job titles related to Contract Model Risk Governance jobs in Raleigh, NC? For Contract Model Risk Governance jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Contract Model Risk Governance jobs in Raleigh, NC look for? The top searched job categories for Contract Model Risk Governance jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Contract Model Risk Governance jobs? Cities near Raleigh, NC with the most Contract Model Risk Governance job openings:
Contract Model Risk Governance jobs near you

Model Risk Governance Manager

NC SECU

Raleigh, NC • Hybrid

Full-time

Posted 5 days ago

Job description

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

Essential Responsibilities:

  • (30%) Development and execution of policies, standards, and internal procedures for all phases of the model and AI life cycle, including identification, risk assessment, definition of control objectives, ongoing monitoring, and retirement.
  • (20%) Ownership of the model risk management framework and reporting on model governance, development, validation, and monitoring for the organization. Responsible for creating and ongoing reporting of key risk indicators and management reporting for senior risk management stakeholders, management committees, and board-level committees.
  • (20%) Design and maintain AI governance frameworks, standards, and research to guide responsible AI adoption. Embed responsible, transparent, and controlled AI practices across the full AI life cycle, from design and development to deployment and monitoring. Ensure that AI capabilities are delivered safely, ethically, and in alignment with regulatory expectations, while enabling speed, scalability, and business value. Partner with technology, privacy, operational, and compliance risk leaders to ensure AI risk practices are well-integrated.
  • (10%) Manage and develop model risk and AI risk governance staff.
  • (10%) Ensure overall compliance of the program with regulatory guidance on model risk management and artificial intelligence, staying current with changes in regulatory expectations and leading industry practices.
  • (10%) Provide training and communication around the expectations of the MRM program and AI risk management to stakeholders across the organization.

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

  • Masters in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field).
  • 5+ years of experience in modeling or analytics, including experience developing enterprise-wide policies, standards and protocols in model risk, AI, or a related discipline.
  • Ability to understand model conceptual design, testing of performance, controls over data flows, and compliance of model results with intended application.
  • Must possess a deep understanding of regulatory guidance and expectations in Model Risk Management (e.g., SR 26-2, SR 15-19) and Artificial Intelligence (e.g. NIST AI Risk Management Framework, ISO 42001).
  • Programming skills in a statistical programming language, such as SAS, R, or Python. Ability to independently write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency.
  • Subject matter expertise in advanced mathematical and statistical modeling techniques, such as competing risk logistic regression, time series analysis, ordinary least squares, Monte Carlo simulation, and machine learning techniques (e.g. XGBoost).
  • Excellent oral and written communication skills. Experience writing and reviewing detailed technical validation reports and/or model development documentation.
  • Familiarity with modern artificial intelligence (AI), including large language models (LLMs), retrieval augmented generation, generative AI, agentic AI, and the approaches and architecture required to harness and manage the risks of these tools.
  • Strong attention to detail and the ability to independently formulate solutions to complex modeling and analytical challenges without existing procedures or precedent. Ability to mentor staff through complex analytical challenges and difficult technical conversations with internal and external stakeholders.
  • Ability to evaluate model risks, weigh pros and cons of risk mitigation, and communicate very technical concepts in plain language.
  • Perform job functions independently with limited day-to-day oversight from supervisor.

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

  • Experience managing teams of technical individual contributors and/or external vendors performing technical modeling work
  • 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)
  • FRM or CFA certification

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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