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Senior Quantitative Risk Analyst Jobs in Raleigh, NC

... senior validation staff. * (30%) Validate the performance and controls of statistical models using ... Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics ...

Job Summary - Risk Analysis (Raleigh, NC) - Identify, assess, and mitigate risks across business ... for senior leadership. - Develop and maintain risk dashboards, KRIs/KPIs, risk registers, and ...

Risk Analysis

Raleigh, NC ยท On-site

$100K - $120K/yr

Risk Analysis Must Have Technical/Functional Skills โ€ข Risk identification, assessment, mitigation ... senior leadership. โ€ข Adept at developing risk dashboards, KRIs/KPIs, risk registers, and ...

Quantitative Associate

Durham, NC ยท On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

Quantitative Associate

Durham, NC ยท On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

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Senior Quantitative Risk Analyst information

See Raleigh, NC salary details

$52K

$106.8K

$138.5K

How much do senior quantitative risk analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior quantitative risk analyst in Raleigh, NC is $106,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a senior quantitative risk analyst?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as a senior quantitative risk analyst?

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What are some typical challenges faced by senior quantitative risk analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

What is the difference between Senior Quantitative Risk Analyst vs Quantitative Risk Analyst?

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Raleigh, NC?

The most popular types of Quantitative Risk Analyst jobs in Raleigh, NC are:

What are popular job titles related to Senior Quantitative Risk Analyst jobs in Raleigh, NC?

For Senior Quantitative Risk Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Risk Analyst jobs in Raleigh, NC look for?

The top searched job categories for Senior Quantitative Risk Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Quantitative Risk Analyst jobs?

Cities near Raleigh, NC with the most Senior Quantitative Risk Analyst job openings:

Infographic showing various Senior Quantitative Risk Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $106,773 per year, or $51.3 per hour.

Model Risk Analyst

NC SECU

Raleigh, NC โ€ข Hybrid

Full-time

Re-posted 20 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.