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

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Document and present findings to management and model owners. * (10%) Provide input for ... Learning (AI/ML) techniques, etc. * Demonstrated ability to contribute to multiple projects ...

First Citizens Bank

AI Adoption Analyst

Raleigh, NC · On-site +1

$143K - $190K/yr

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

First Citizens Bank

AI Adoption Analyst

Raleigh, NC · On-site +1

$143K - $190K/yr

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

First Citizens Bank

AI Adoption Analyst

Raleigh, NC · On-site

$143K - $190K/yr

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

BitSight

AI Marketing Systems Engineer

Raleigh, NC · Remote

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance ... Embed AI Into Marketing Operations * Identify and implement high-impact AI use cases across the ...

Deloitte

AI Data Engineer - Manager

Raleigh, NC · On-site

$111K - $133K/yr

Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.

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Ai Risk Manager information

See Raleigh, NC salary details

$50.1K

$108.4K

$165.3K

How much do ai risk manager jobs pay per year?

As of Jun 22, 2026, the average yearly pay for ai risk manager in Raleigh, NC is $108,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $125,400.00 per year, depending on experience, location, and employer.

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

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Raleigh, NC? For Ai Risk Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Raleigh, NC look for? The top searched job categories for Ai Risk Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Risk Manager jobs? Cities near Raleigh, NC with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you

Model Risk Analyst

NC SECU

Raleigh, NC • Hybrid

Full-time

Posted 10 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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