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Ai Risk Analyst Jobs in Raleigh, NC (NOW HIRING)

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

... Learning (AI/ML) techniques, etc. * Demonstrated ability to contribute to multiple projects ... Strong attention to detail and the ability to understand and analyze complex modeling and ...

New

NC SECU

Model Risk Governance Manager

Raleigh, NC · Hybrid

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 ...

New

Analogdevices

AI Governance Analyst

Durham, NC · On-site

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 ...

N-able

Senior SOC Analyst

Morrisville, NC · Hybrid

Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can ... The Senior SOC Analyst is an experienced cybersecurity professional responsible for handling ...

N-able

Senior SOC Analyst

Morrisville, NC · Hybrid

Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can ... The Senior SOC Analyst is an experienced cybersecurity professional responsible for handling ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

... for risk, bias, and alignment with Cary's ethical AI principles. * Collaboration & Innovation • Work cross-functionally with IT, HR, legal, communications, and line-of-business departments. • ...

First Citizens Bank

AI Adoption Analyst

Raleigh, NC · On-site +1

$143K - $190K/yr

... risk management, or related disciplines with hands-on AI/advanced analytics delivery. OR High ... School Diploma or GED and 8 years of experience in Data management, information technology ...

First Citizens Bank

AI Adoption Analyst

Raleigh, NC · On-site +1

$143K - $190K/yr

... risk management, or related disciplines with hands-on AI/advanced analytics delivery. OR High ... School Diploma or GED and 8 years of experience in Data management, information technology ...

First Citizens Bank

AI Adoption Analyst

Raleigh, NC · On-site

$143K - $190K/yr

... risk management, or related disciplines with hands-on AI/advanced analytics delivery. OR High ... School Diploma or GED and 8 years of experience in Data management, information technology ...

Deloitte

Financial Risk Manager

Raleigh, NC

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

Bandwidth Inc.

Traffic Performance Analyst

Raleigh, NC · Remote

... automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for ... The Traffic Performance Analyst works under the supervision of the Risk Manager, and serves as a ...

Bandwidth

Traffic Performance Analyst

Raleigh, NC · Remote

... automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for ... The Traffic Performance Analyst works under the supervision of the Risk Manager, and serves as a ...

Bandwidth

Traffic Performance Analyst

Raleigh, NC · Remote

... automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for ... The Traffic Performance Analyst works under the supervision of the Risk Manager, and serves as a ...

Bandwidth

Traffic Performance Analyst

Raleigh, NC · On-site

... automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for ... The Traffic Performance Analyst works under the supervision of the Risk Manager, and serves as a ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Raleigh, NC

Ai Risk Analyst information

See Raleigh, NC salary details

$14

$39

$63

How much do ai risk analyst jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for ai risk analyst in Raleigh, NC is $39.31, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $47.84 per hour, depending on experience, location, and employer.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

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 and programming skills to ensure AI deployment aligns with safety 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.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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.

What are AI Risk Analysts?

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 are popular job titles related to Ai Risk Analyst jobs in Raleigh, NC? For Ai Risk Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Raleigh, NC look for? The top searched job categories for Ai Risk Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Risk Analyst jobs? Cities near Raleigh, NC with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 11% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $81,769 per year, or $39.3 per hour.

Model Risk Analyst

NC SECU

Raleigh, NC • Hybrid

Full-time

Posted 2 days ago

Job description

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

Position Overview:

Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.

Essential Responsibilities:

  • (40%) Execute model validation activities across the model life-cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
  • (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
  • (10%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
  • (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
  • (10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

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

  • Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field)
  • 3+ years of experience in modeling or analytics
  • Ability to assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
  • Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
  • Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc.
  • Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
  • Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation.
  • Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff.
  • Perform job functions independently with some day-to-day oversight from supervisor.

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

  • Masters in quantitative discipline
  • 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)

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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