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Ai Risk Analyst Jobs in North Carolina (NOW HIRING)

Live Oak Bank

Model Risk Analyst

Wilmington, NC · On-site

AI Governance & Emerging Technology * Test, evaluate, and independently review AI-enabled tools ... Experience with additional analytical tools such as R or SAS. * Experience developing risk ...

LiveOak Bank

Model Risk Analyst

Wilmington, NC

AI Governance & Emerging Technology * Test, evaluate, and independently review AI-enabled tools ... Experience with additional analytical tools such as R or SAS. * Experience developing risk ...

Infosys Limited

Risk Analyst

Raleigh, NC · On-site

$125 - $150/hr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Facilitate performance data analysis across systems, coordinate insights on system behavior, and ...

Truist

AI Risk Senior Specialist

Charlotte, NC · On-site

$96K/yr

... analytics tools (e.g. Tableau). 4. Familiarity with enterprise Governance Risk and Compliance (eGRC) platforms and tools (e.g., RSA Archer) Professional certifications in AI or risk management (e.g ...

Truist

AI Risk Senior Specialist

Charlotte, NC · On-site

... analytics tools (e.g. Tableau). 4. Familiarity with enterprise Governance Risk and Compliance (eGRC) platforms and tools (e.g., RSA Archer) Professional certifications in AI or risk management (e.g ...

Live Oak Bank

Model Risk Analyst

Wilmington, NC · On-site

$100 - $125/hr

AI Governance & Emerging Technology: Test, evaluate, and independently review AI-enabled tools ... Experience with additional analytical tools such as R or SAS. * Experience developing risk ...

Us Bank

Fraud Risk Analyst

Charlotte, NC · On-site

$100 - $125/hr

The Fraud Risk Analyst develops data-driven insights and strategies that strengthen fraud ... Utilize approved analytics, AI, and technology solutions while applying appropriate judgment and ...

US Bank

Balance Sheet Risk Analyst

Charlotte, NC · On-site

$66K - $78K/yr

Liquidity Risk Management Analyst will support initiatives related to the Company's Internal ... AI-poweredsolutions Location expectations This role requires working from a U.S. Bank location ...

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Ai Risk Analyst information

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$13

$36

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How much do ai risk analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai risk analyst in North Carolina is $36.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $44.81 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

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

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

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

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

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Cities in North Carolina with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in North Carolina as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $76,530 per year, or $36.8 per hour.

Model Risk Analyst

Live Oak Bank

Wilmington, NC • On-site

Full-time

Posted 5 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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