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Director Model Risk Governance Jobs in Leland, NC

LiveOak Bank

Model Risk Analyst

Wilmington, NC · On-site

AI Governance & Emerging Technology * Test, evaluate, and independently review AI-enabled tools ... Well-organized and self-directed, with intellectual curiosity and a proactive, collaborative ...

Posted today

Boys & Girls Club

Unit Director

Wilmington, NC · On-site

Ensure that all safety procedures, emergency protocols, and risk management practices are ... Model and reinforce BGCSENC's core values by demonstrating professionalism, teamwork ...

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Director Model Risk Governance information

See Leland, NC salary details

$46.7K

$123.8K

$224.7K

How much do director model risk governance jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director model risk governance in Leland, NC is $123,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $144,800.00 per year, depending on experience, location, and employer.

What is a director model risk governance?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are the key skills and qualifications needed to thrive as a director model risk governance?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a director model risk governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What cities near Leland, NC are hiring for Director Model Risk Governance jobs?

Cities near Leland, NC with the most Director Model Risk Governance job openings:

Director Model Risk Governance jobs near you

Model Risk Analyst

LiveOak Bank

Wilmington, NC • On-site

Full-time

Posted 15 hours ago

Posted today

Job description

About Us

Live Oak Bank is a digital bank that serves small business owners across the country. Our groundbreaking spin on service and technology has fueled our mission to be America's Small Business Bank. Our products help customers buy, build, and expand their business, and our high-yield savings and CD products help them grow their hard-earned money. At Live Oak, we never lose sight of the well-being of our people. We believe our employees are the heart of our company. Our commitment to our customers and culture is intertwined, and we seek those who embody and embrace what it takes to empower the American dream.

How This Role Impacts Live Oak and Its People

As a Model Risk Analyst, you help ensure Live Oak's models and AI-enabled solutions are sound, well-governed, and aligned with business objectives and regulatory expectations. Working within the second line of defense, you provide independent review, effective challenge, and ongoing oversight across the full model and AI lifecycle. Your work supports safe and sound operations and informed decision-making across the model and AI lifecycle.

Location: Required to be location in North Carolina market. Work Sponsorship is not supported now or in the future.

What You'll Do at Live Oak

Model Validation & Effective Challenge

  • Conduct quantitative and qualitative validations of internally developed and vendor-provided models, assessing conceptual soundness, data, assumptions, methodology, outcomes, and limitations.

  • Review and challenge ongoing monitoring results to confirm models continue to perform as intended, and escalate emerging risks.

  • Assess model change requests, including methodology changes, data updates, and enhancements, and help determine the appropriate level of review.

  • Provide effective challenge to model owners and developers by identifying risks, limitations, and control gaps, and recommending remediation.

  • Document findings, assign criticality, and track remediation through to closure.

AI Governance & Emerging Technology

  • Test, evaluate, and independently review AI-enabled tools, agents, and skills to confirm alignment with governance standards, regulatory expectations, and business objectives.

  • Assess key AI-specific risks such as bias, data privacy, and reliability, and support monitoring practices for AI-enabled tools and systems.

  • Monitor emerging AI tools and industry trends to help flag governance and risk considerations early as new use cases are adopted.

Analysis & Reporting

  • Analyze quantitative and qualitative data to identify trends, anomalies, performance concerns, and emerging risks affecting model effectiveness and decision-making.

  • Produce clear, well-structured validation, monitoring, and analytical documentation that communicates technical findings to technical and non-technical audiences.

  • Support development of risk dashboards, key risk indicators, and executive reporting.

Governance, Framework & Stakeholder Support

  • Support the model and AI governance framework by handling intake reviews, risk tiering, validation scheduling, and findings tracking, and by maintaining the model and AI inventory.

  • Contribute to governance materials and reporting for committees such as the Model Risk Committee and AI Governance Forum.

  • Maintain a current understanding of model risk governance, policies, procedures, and regulatory guidance, including SR 26-2 and emerging AI/ML governance expectations.

Required Experience

  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, Engineering, Data Analytics, Computer Science, or a related quantitative field.

  • 2-4 years of experience in model risk management, model validation, model development, quantitative analytics, or a related risk management function within financial services.

  • Experience reviewing or validating quantitative and/or qualitative models, such as credit risk, allowance, forecasting, pricing, BSA/AML, or operational models.

  • Ability to analyze model documentation, data, assumptions, methodologies, and results, and to apply independent judgment and effective challenge.

  • Baseline familiarity with AI or machine learning concepts and related governance considerations.

  • Proficiency with Python and SQL, and hands-on experience with version-control and analytical platforms such as GitHub and Databricks.

  • Strong written and verbal communication skills, able to convey complex concepts to varied audiences.

  • Well-organized and self-directed, with intellectual curiosity and a proactive, collaborative approach to managing competing priorities.

Preferred Experience

  • Advanced degree (Master's) in a quantitative discipline.

  • Knowledge of banking products, financial services, and model risk management practices.

  • Experience evaluating AI, machine learning, or agentic/LLM-based systems and their governance considerations.

  • Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework or emerging interagency guidance.

  • Experience with additional analytical tools such as R or SAS.

  • Experience developing risk dashboards, key risk indicators, and executive reporting.

Our Values

  • Dedication:Possess a deep commitment to Live Oak Bank's mission and core values, exemplified through a strong work ethic, adaptability and pride in your work.

  • Ownership:Take initiative to deliver positive results by proactively and creatively solving problems, while maintaining a high degree of quality.

  • Respect:Treat everyone with courtesy, politeness, and kindness.

  • Innovation:Embrace fresh ideas and fearlessly contribute new solutions to emerging or existing problems.

  • Teamwork: Foster collaboration, accountability, and trust with others and understand that together, we do more

For a detailed overview of our employee benefits please visit:http://www.liveoakbank.com/careers/

Live Oak Bank is an Affirmative Action and Equal Opportunity Employer, Minorities/Women/Veterans/Disabled. We consider applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status or disability. Equal access to programs, service and employment is available to all persons. Those applicants requiring reasonable accommodation to the application and/or interview process should notify human resources atHumanResources@liveoak.bank.

EEO is the Law

The base pay range for this position is $82,240.00 - $133,640.00 per year. Compensation may also include annual bonuses and long-term incentives, subject to various metrics and company policy. A candidate's salary is determined by several factors including travel, relevant work experience or skills and expertise.

Please note that we provide at least the minimum requirement of paid sick leave to our employees who reside in states that require employer-paid sick leave, including but not limited to Arizona, California, Colorado, District of Columbia, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New Mexico, New York, Oregon, Rhode Island, Vermont, and Washington.

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