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

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Position Overview: Assist in the development, implementation, and maintenance of the Model Risk ... Subject matter expertise in generative large language models (Artificial Intelligence) Job ...

Randall-Reilly

Sales Director - Insurance

Wake Forest, NC · Remote

$130K - $150K/yr

Risk Intelligence is scaling rapidly to support accelerated 2026+ growth. CAB is the market leader in risk exposure and loss control analytics, and this role directly shapes the go-to-market strategy ...

Deloitte

Financial Risk Manager

Raleigh, NC

... analytics, process automation, artificial intelligence / machine learning, and other digital ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

Avalara

Lead, Customer Intelligence Strategy

Durham, NC · On-site

$126K/yr

Reduce the risk of disconnected tools that obscure the full customer picture. Organizational ... Define how CX360 integrates analytics outputs, Voice of Customer inputs, and operational signals ...

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All JobsRisk Intelligence Analyst JobsRisk Intelligence Analyst Jobs in Raleigh, NC

Risk Intelligence Analyst information

See Raleigh, NC salary details

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$39

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How much do risk intelligence analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for risk intelligence analyst in Raleigh, NC is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $47.88 per hour, depending on experience, location, and employer.

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

To thrive as a Risk Intelligence Analyst, you need strong analytical and research abilities, a background in risk management or related fields, and often a relevant degree such as in criminal justice, security studies, or data analytics. Familiarity with technologies like risk assessment platforms, data visualization tools, and intelligence databases, as well as certifications like Certified Risk Management Professional (CRMP), is typical. Exceptional attention to detail, critical thinking, and effective communication are vital soft skills for interpreting information and presenting findings. These skills enable proactive threat identification and informed decision-making to protect organizational assets and operations.

What is the difference between Risk Intelligence Analyst vs Risk Analyst?

AspectRisk Intelligence AnalystRisk Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; certifications like FRM or CRMBachelor's degree in finance, economics, or related field; certifications like FRM or CRM
Work EnvironmentFinancial institutions, consulting firms, or government agencies focusing on risk assessment and intelligenceCorporate, banking, or insurance sectors analyzing financial risks and market trends
Employer & Industry UsageUsed in industries requiring risk intelligence and strategic insightsCommon in finance and insurance sectors for risk evaluation

Both roles require similar educational backgrounds and certifications, often working in financial or consulting environments. The Risk Intelligence Analyst focuses more on gathering and analyzing risk data to inform strategic decisions, while the Risk Analyst primarily assesses financial risks to support operational decisions.

What is a Risk Intelligence Analyst?

A Risk Intelligence Analyst is a professional who identifies, assesses, and monitors risks that could impact an organization’s operations, reputation, or financial health. They collect and analyze data from various sources to detect potential threats, such as security breaches, market fluctuations, geopolitical events, or compliance issues. Their insights help organizations make informed decisions to mitigate risks and capitalize on opportunities. Risk Intelligence Analysts often work closely with management, security teams, and other stakeholders to develop and implement risk management strategies.

How does a Risk Intelligence Analyst typically collaborate with other departments to identify and mitigate organizational risks?

Risk Intelligence Analysts regularly work with teams across departments such as compliance, cybersecurity, operations, and executive leadership to assess potential threats and vulnerabilities. They gather and analyze data from various internal and external sources, then share actionable insights through detailed reports and presentations. This cross-functional collaboration ensures that emerging risks are addressed promptly and that mitigation strategies are integrated into business processes, fostering a proactive risk management culture within the organization.
What are popular job titles related to Risk Intelligence Analyst jobs in Raleigh, NC? For Risk Intelligence Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Risk Intelligence Analyst jobs in Raleigh, NC look for? The top searched job categories for Risk Intelligence Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Risk Intelligence Analyst jobs? Cities near Raleigh, NC with the most Risk Intelligence Analyst job openings:
Risk Intelligence Analyst jobs near you
Infographic showing various Risk Intelligence Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 68% In-person, 11% Hybrid, and 21% Remote job distribution, with an average salary of $81,854 per year, or $39.4 per hour.

Model Risk Analyst

NC SECU

Raleigh, NC • Hybrid

Full-time

Re-posted 18 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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