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Quantitative Modeling Jobs in Durham, NC (NOW HIRING)

Duke University

Quantitative Associate

Durham, NC

$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 ...

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 classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

GEMS

Sr. Manager, Global Tax Planning

Raleigh, NC · On-site

Lead the full lifecycle of global tax planning initiatives, including ideation, feasibility assessment, quantitative modeling, transaction design, implementation, documentation, and audit support.

New

Ralliant

Sr. Manager, Global Tax Planning

Raleigh, NC · On-site

Lead the full lifecycle of global tax planning initiatives, including ideation, feasibility assessment, quantitative modeling, transaction design, implementation, documentation, and audit support.

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

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 ...

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Quantitative Modeling information

See Durham, NC salary details

$94.7K

$164K

$250.8K

How much do quantitative modeling jobs pay per year?

As of Aug 30, 2026, the average yearly pay for quantitative modeling in Durham, NC is $164,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $192,300.00 per year, depending on experience, location, and employer.

What is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What does a quantitative modeler do?

A quantitative modeler develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making. They use programming languages like Python or R and tools such as Excel or specialized software, often working in finance, investment, or risk management environments.

What are the most commonly searched types of Quantitative Modeling jobs in Durham, NC?

The most popular types of Quantitative Modeling jobs in Durham, NC are:

What are popular job titles related to Quantitative Modeling jobs in Durham, NC?

For Quantitative Modeling jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Quantitative Modeling jobs in Durham, NC look for?

The top searched job categories for Quantitative Modeling jobs in Durham, NC are:

Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in Durham, NC as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $153,786 per year, or $73.9 per hour.

Quantitative Associate

Duke University

Durham, NC

$125K - $140K/yr

Full-time

Medical, Dental, Retirement

Re-posted 17 days ago

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

493rd of 627 rated colleges and universities

Job description

Be You. Be Bold. Choose Duke.   Be You.
DUMAC is the investment office that manages a multi-billion dollar global portfolio on behalf of Duke University and other pools of capital. Our mission is to provide critical financial support to the university for professorships, student scholarships, and pioneering research. The Data Science & Risk team serves as a central quantitative hub, partnering with all investment groups to drive data-informed decision-making, enhance portfolio construction, and manage risk.
 
DUMAC is seeking a highly motivated and intellectually curious Quantitative Associate/Analyst to join our Data Science & Risk team. This role is designed to provide deep, cross-functional exposure to all aspects of institutional investing. You will work on high-impact projects that span our Public, Private, and Direct investment portfolios, as well as our back-office operations.
This position offers a robust training ground for a career in quantitative finance and asset management, with the potential for long-term advancement within the organization for exceptional performers. You will be a key contributor to the team, bringing fresh perspectives and technical skills to solve complex investment challenges.

 

  Minimum Qualifications Education

Work requires communications and analytical skills generally acquired through completion of a bachelor's degree program. An MBA and CFA are preferred.

  Experience

Work requires experience in research and financial analysis, generally acquired through two years of related experience. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE

    Be Bold. What You'll Do:
  • 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 of return.
  • Contribute to private asset cash flow forecasting and pacing models to inform portfolio construction and liquidity management.
  • Research, develop, and backtest systematic investment strategies in collaboration with investment teams.
  • Explore and implement AI/ML techniques to enhance investment decision-making and optimize operational workflows.
  • Design, build, and maintain interactive dashboards and visualizations to communicate complex data and insights to stakeholders across the organization.
  • Collaborate with investment professionals and operational teams (Finance, Legal) on a variety of cross-functional projects.
  What We're Looking For
  • Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Statistics, Computer Science, Engineering, or Mathematics.
  • A demonstrated passion for investing and a strong desire to learn about financial markets.
  • Strong proficiency in R or Python for data analysis, modeling, and automation.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.
  • An independent thinker with a proactive mindset and a high degree of intellectual curiosity.
  • Experience building dashboards and data visualizations using tools like R Shiny, Python Dash, Tableau, or Power BI.
  • Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required.
  • Prior internship or project experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate.
  • Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.
  • Experience with database querying (e.g., SQL).
    Choose Duke.   Why Join DUMAC?
  • Impact: Play a critical role in supporting the mission of a world-class university.
  • Exposure: Gain unparalleled experience across public and private markets, working directly with seasoned investment professionals.
  • Growth: Join a collaborative, mentorship-driven environment with a clear path for professional development and learning.
  • Culture: Be part of a dynamic, intellectually stimulating team that sits at the intersection of technology and finance.

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $125,000.00 to USD $140,000.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.


Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/


Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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