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Associate Quantitative Risk Analyst Jobs in Raleigh, NC

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics ... Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset ... for Quantitative Associate. * Exposure to machine learning libraries (e.g., scikit-learn ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset ... for Quantitative Associate. * Exposure to machine learning libraries (e.g., scikit-learn ...

UHS

RISK MGMT ANALYST

Raleigh, NC · On-site

Associates Degree preferred Experience: Two years hospital experience and experience in medical ... Indicators and UHS Risk Management reporting requirements. • Maintains current knowledge of ...

UHS

RISK MGMT ANALYST

Raleigh, NC · On-site

Associates Degree preferred Experience: Two years hospital experience and experience in medical ... Risk Management reporting requirements. · Maintains current knowledge of federal updates for CORE ...

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All JobsAssociate Quantitative Risk Analyst JobsAssociate Quantitative Risk Analyst Jobs in Raleigh, NC

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How much do associate quantitative risk analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for associate quantitative risk 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 does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

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

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
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:
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What cities near Raleigh, NC are hiring for Associate Quantitative Risk Analyst jobs? Cities near Raleigh, NC with the most Associate Quantitative Risk Analyst job openings:
Associate Quantitative Risk Analyst jobs near you
Agriculturist (Permit Policy Specialist/Quantitative Risk Analyst)

Agriculturist (Permit Policy Specialist/Quantitative Risk Analyst)

U.S. Department of Agriculture (USDA)

Raleigh, NC • On-site

$93K/yr

Other

Posted 11 days ago

Job description

Plant Protection and Quarantine (PPQ), is seeking professionals to support its mission of safeguarding U.S. agricultural and natural resources from economically and environmentally significant plant pests and diseases. Positions may be filled as Quantitative Risk Analyst or Regulatory Permit Analyst, depending on qualification and contribute to national plant health programs through risk analysis, regulatory decision-making, permitting, data analysis, program evaluation, and operational support.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education, as defined below.
BASIC REQUIREMENT: Degree: biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position.
OR Combination of education and experience: post high school education with courses equivalent to a major, which is defined as 24 semester/36 quarter hours, in the biological sciences, agriculture, natural resources management, chemistry or related disciplines appropriate to the position, PLUS appropriate experience or additional course work.
FOR THE GS-12 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-11 level) that may have been obtained in the private or public (local, county, state, Federal) sectors which demonstrates:
  • Demonstrated experience of agricultural and biological sciences, or mathematical statistics, or related disciplines (e.g., plant science, entomology, plant pathology) to integrate scientific knowledge into regulatory and compliance programs.
  • Demonstrated experience interpreting and applying federal regulations, guidelines, and scientific literature to regulatory decisions, risk assessments, and program development.
  • Demonstrated experience with qualitative and quantitative methods, including statistical analysis, risk assessment methodologies, or geographic information systems (GIS). Originate new methodologies and solve novel scientific problems.
  • Demonstrated written and oral communication skills, including preparing scientific reports, delivering technical presentations, and explaining regulatory decisions to general audiences.
  • Demonstrated professional knowledge of mathematical statistics including application of advanced statistical modeling, quantitative risk assessment, and development of new analytical methods.
Note: There is no education substitution for this grade level.
TRANSCRIPTS are required:
  • This position requires specific coursework or a degree in a specific field to be basically qualified.
  • This education must have been successfully completed and obtained from an accredited school, college, or university.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:Please see above for education qualification requirement information.Employment Type: OTHER

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