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Model Risk Jobs in North Carolina (NOW HIRING)

Live Oak Bank

Model Risk Analyst

Wilmington, NC · On-site

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 ...

LiveOak Bank

Model Risk Analyst

Wilmington, NC · On-site

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 ...

Martello Re

Model Risk Actuary

Charlotte, NC · On-site

$113K - $133K/yr

The Model Risk Actuary will support the identification, assessment, and management of model risk across the organization. This role ensures that models and assumptions used for pricing, reserving ...

Live Oak Bank

Model Risk Analyst

Wilmington, NC · On-site

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 ...

Talcott Financial Group

Risk Manager

Charlotte, NC · On-site

$120K - $155K/yr

This position will report into the Head of Model, Insurance, and Retail Risk in Enterprise Risk Management (ERM). The ERM team is composed of Actuaries, CFA charter holders, and risk professionals ...

Td

Senior Quantitative Analyst (US)

Charlotte, NC · On-site

$76K - $114K/yr

Model Risk Management supports the effective oversight of model risk across TD's U.S. operations and is comprised of two core functions: Model Validation and Model Risk Governance. Model Validation ...

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Model Risk information

See North Carolina salary details

$13

$27

$67

How much do model risk jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for model risk in North Carolina is $27.57, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $35.19 per hour, depending on experience, location, and employer.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What are some typical challenges faced by professionals working in model risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a model risk analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What does a model risk do?

A model risk professional assesses and manages the risks associated with using mathematical and statistical models in financial and operational decision-making. They review model accuracy, validate assumptions, and ensure compliance with regulatory standards, often using tools like SAS or R. Their work helps prevent financial loss due to model errors or misestimations.

What does a model risk specialist do?

A model risk specialist evaluates and manages risks associated with financial or operational models used by organizations. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent model errors that could lead to financial loss or regulatory issues.

What are the most commonly searched types of Model Risk jobs in North Carolina?

The most popular types of Model Risk jobs in North Carolina are:

What are popular job titles related to Model Risk jobs in North Carolina?

For Model Risk jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Model Risk jobs in North Carolina look for?

The top searched job categories for Model Risk jobs in North Carolina are:

Model Risk jobs near you
Infographic showing various Model Risk job openings in North Carolina as of September 2026, with employment types broken down into 2% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $57,345 per year, or $27.6 per hour.

Model Risk Analyst

Wilmington, NC • On-site

Live Oak Bank
Commercial Banking • 501 - 1,000 employees
Learn more about Live Oak Bankexternal

Full-time

Posted 9 days ago

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 at HumanResources@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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