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Quantitative Risk Analyst Intern Jobs in North Carolina

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

  • Medical

  • Dental

  • Retirement

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 ...

First Horizon Bank

Risk Consultant

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Source, analyze, and transform datasets across multiple systems and reporting environments ... other quantitative discipline. * Strong written and oral communication skills. About Us First ...

US Bank

Quantitative Model Analyst 2

Charlotte, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... internal risk standards. The position also requires clear communication of model performance ... in a quantitative field, and three or more years of relevant experience OR - MA/MS in a ...

US Bank

Quantitative Strategist - Commodities

Charlotte, NC · On-site

$118K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Quantitative Strategist is a front-office quantitative professional responsible for supporting the design, development, and implementation of pricing, risk, and analytics models with a focus on ...

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Quantitative Risk Analyst Intern information

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 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 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 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 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, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Quantitative Modeler, ALM & Insurance Analytics

Talcott Financial Group

Charlotte, NC • On-site

$100K - $180K/yr

Full-time

Re-posted 13 days ago

Job description

Talcott Financial Group* is an international life insurance group and the industry's trusted partner for comprehensive risk solutions. Talcott creatively designs and expertly delivers responsive solutions that transfer risk and manage capital in a way that supports the strategic needs of insurers today and into the future.
Talcott Financial Group has a proven track record of well-executed transactions, and the enterprise benefits from its strong financial position with over $127 billion in assets under management, its investment-grade financial strength ratings, and its partnership with Sixth Street, a leading global investment firm.
Talcott Financial Group's two core business platforms include: U.S. based Talcott Resolution and Bermuda and Cayman based Talcott Re.
Overview:
Our Quantitative Modeling Analyst position will support the development of hands-on artificial intelligence (AI) engineering strategies that will strengthen the organization's asset and liability modeling capabilities. The strategy will allow us to modernize how Talcott values, projects, manages, and explains its wide variety of asset intensive liabilities. The Quantitative Analyst will assist in the development of self-service applications including chat experiences for investments, ALM, finance, and ERM users while remaining grounded in fixed income, derivatives, and ALM analytics. This opportunity will be a part a newly formed "AI Lab" within the actuarial department to accelerate the development of AI-driven business applications, asset modeling, and engineering to deliver generative and agentic AI capabilities that accelerate model production, automate documentation and controls.
Responsibilities:
  • Develop asset and liability models that support self-service ALM forecasting for Actuarial, Finance, and Risk users, including prepayment, credit migration, and default modeling.
  • Develop optimization approaches for SAA, hedging, capital efficiency, and surplus generation
  • Implement anomaly detection for valuation QA and model validation.
  • Build and maintain Python services integrating AXIS, KRM, QuantLib, and internal platforms
  • Follow best practices in version control, CI/CD (continuous integration/continuous deployment) and code review
  • Contribute to validation, controls and reconciliation frameworks.
  • Build self-service chat tools, LLM (large language model) based auto-documentation for governance and audit, AI-assisted reconciliation and anomaly explanation, and RAG (retrieval-augmented generation) solutions grounded in actuarial methods, regulatory guidance, and prior results.
  • Partner with Risk, Compliance, and IT to establish AI governance, safety, validation, and human-in-the-loop controls.
  • Stay up to date with technological advancement in AI tools and applications, and continuous development of potential use cases for the company.

Qualifications:
  • Degree in quantitative finance or actuarial designation
  • Minimum of 1 year of experience with quantitative asset modeling and AI applications
  • Strong mathematical and analytical skills with working knowledge of fixed income asset classes, pricing models, and derivatives
  • Progress toward an ASA or FSA is a plus
  • Demonstrated experience applying quantitative models to business challenges
  • Hands-on exposure to Generative AI, agentic workflows, chat assistants, and machine learning
  • Technical experience requirements: Python, NumPy, pandas, Fast API, Azure cloud services
  • Demonstrated ability to take ownership of processes and drive improvements independently
  • Experience providing project oversight or leading components of projects is a plus
  • Strong communication skills, with the ability to translate complex analysis into clear, actionable insights for senior stakeholders
  • Attention to detail and ability to manage multiple deliverables
  • Strong analytical and problem-solving skills, with demonstrated experience working with complex datasets and reporting frameworks
  • Results-oriented with a demonstrated ability to work under tight deadlines in a high-performance environment.

Compensation:
This range represents the minimum and maximum annual base salary we reasonably expect to pay for this role at the time of posting. The actual base pay could vary and may be above or below the listed range. The base pay is based on factors including but not limited to experience, competence, and demonstration of proficiencies essential for the role. The base pay is just one component of Talcott's total annual compensation for employees. Other compensation may include annual bonuses, long-term incentives and recognition.
*This role is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without current or future visa sponsorship.
**Talcott Financial Group is an equal employment employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, marital status, ancestry or citizenship status, genetic information, pregnancy status or any other characteristic protected by law. Talcott Resolution maintains a drug-free workplace. For more information regarding our Privacy Policy, please go to https://talcott.com/onlineprivacypolicy/onlineprivacypolicy.html

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