Model Risk Analyst

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.

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.

• 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 to elevate 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.

• 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.

• 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.

• 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.

• 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…