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Quantitative Risk Analyst Intern Jobs in North Carolina

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 ...

AIG

Risk Analyst ERM

Charlotte, NC · On-site

Join us as a Risk Analyst ERM to take on key responsibilities within a world-class actuarial ... Preparing quantitative and qualitative inputs to support business risk self-assessment (BRSA ...

New

Us Bank

Fraud Risk Analyst

Charlotte, NC · On-site

$105.40 - $124/hr

... another quantitative field. * Extensive data analytics experience in fraud analytics, fraud ... risk management, financial services, cybersecurity, or a related field, and experience translating ...

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Quantitative Risk Analyst Intern information

What does a quantitative risk analyst intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What types of projects and responsibilities can a quantitative risk analyst intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

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

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What are the most commonly searched types of Quantitative Risk Analyst jobs in North Carolina?

The most popular types of Quantitative Risk Analyst jobs in North Carolina are:

What are popular job titles related to Quantitative Risk Analyst Intern jobs in North Carolina?

For Quantitative Risk Analyst Intern jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst Intern jobs in North Carolina look for?

The top searched job categories for Quantitative Risk Analyst Intern jobs in North Carolina are:

What cities in North Carolina are hiring for Quantitative Risk Analyst Intern jobs?

Cities in North Carolina with the most Quantitative Risk Analyst Intern job openings:

Quantitative Risk Analyst Intern jobs near you
Infographic showing various Quantitative Risk Analyst Intern job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Quantitative Risk Principal - Critical Risk Reporting

Jobtailor

Charlotte, NC • On-site

$180 - $240/hr

Other

Posted 12 days ago

Job description

  • Lead the evolution of enterprise risk intelligence capabilities for strategic decision-making, risk appetite management, governance, and regulatory oversight
  • Develop, maintain, and enhance sophisticated quantitative risk models, analytical frameworks, and methodologies
  • Design modeling solutions to assess current and emerging risks, quantify exposures, and influence risk strategy and business decisions
  • Develop predictive, stress testing, scenario analysis, and simulation models across macroeconomic, market, operational, and business conditions
  • Establish approaches and best practices for acquiring, transforming, validating, and maintaining complex data assets
  • Improve risk measurement capabilities through enhanced data, advanced methodologies, emerging technologies, and innovative modeling techniques
  • Design scalable model architectures integrating multiple risk types and analytical capabilities
  • Perform independent quantitative assessment and challenge business assumptions, risk methodologies, model outputs, risk limits, and strategic decisions
  • Synthesize technical quantitative analysis into executive insights and strategic recommendations
  • Develop methodologies for evaluating model uncertainty, tail risk, emerging exposures, and interconnected risk relationships
  • Establish analytical standards, modeling best practices, and quantitative risk methodologies
  • Evaluate relationships among risk drivers, scenarios, and business outcomes to provide forward-looking risk insights
  • Serve as the recognized authority on complex quantitative risk matters and provide expert consultation
  • Represent Risk leadership in executive forums, governance committees, and association working groups
  • Influence strategic direction, prioritization, and delivery of quantitative risk capabilities through technical expertise and thought leadership
Requirements
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Science, Data Science, or another quantitative field; OR 4 years of relevant education and/or experience
  • 10+ years experience in quantitative analytics, modeling, risk management, statistical analysis, actuarial science, data science, economics, or finance
  • 6 years of specific quantitative risk analytics experience
  • Experience with highly complex projects and initiatives with demonstrated association-wide impact
  • Ability to synthesize large volumes of risk, business, operational, and external data into concise executive insights and decision-oriented recommendations
  • Experience identifying emerging trends, leading indicators, concentrations, and potential risk exposures
  • Experience applying statistical analysis, forecasting techniques, scenario analysis, and predictive methods
  • Experience translating complex quantitative findings into executive narratives influencing senior leadership, committee, or board-level decisions
  • Ability to distinguish signal from noise within large, complex reporting environments
  • Experience leveraging advanced analytics, AI-enabled tools, or machine learning techniques
  • Ability to connect macroeconomic, operational, regulatory, and business trends into integrated risk perspectives
  • US military experience gained through military service or as a military spouse/domestic partner
  • Must not require immigration support or visa sponsorship
Core Competencies

Demonstrates expertise in developing and enhancing quantitative risk models and analytical frameworks to support strategic decision-making and risk management. Proficient in synthesizing complex data into actionable insights and recommendations for executive leadership.

Highest-signal resume keywords
  • Quantitative Risk Analytics
  • Statistical Analysis
  • Predictive Modeling
  • Data Synthesis
  • Risk Management
ATS Optimization KeywordsHard Skills
  • Quantitative Risk Models
  • Analytical Frameworks
  • Scenario Analysis
  • Stress Testing
  • Data Transformation
  • Model Uncertainty Evaluation
  • Tail Risk Assessment
  • Forecasting Techniques
  • Machine Learning Techniques
  • Complex Data Analysis
Soft Skills
  • Executive Communication
  • Strategic Influence
  • Decision-Making
Industry Keywords
  • Risk Appetite Management
  • Governance
  • Regulatory Oversight
  • Macroeconomic Trends
  • Operational Risk
  • Business Outcomes
Tools & Technologies
  • AI-Enabled Tools
  • Advanced Analytics
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