Apply on Employer Site

Duke University · 4 months ago

Quantitative Associate

Durham, NC

Full-time

Onsite

Mid Level

3+ years exp

Duke University is home to DUMAC, which manages a multi-billion dollar global portfolio to support the university's mission. The Quantitative Associate will analyze portfolio exposures, develop quantitative models, and collaborate with investment teams to enhance data-informed decision-making and optimize investment strategies.

EdTechEducationHigher EducationUniversities

Responsibilities

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

Qualification

RPythonMachine learning librariesDashboard developmentFinancial markets knowledgeDatabase querying (SQL)Independent thinkerIntellectual curiosityCommunication

Required

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

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)