Quantitative Analyst, Columbia Investment Management Company

The Trustees Of Columbia University In The City Of New York • New York, NY

389d • $140,000 - $160,000

About The Position

The Quantitative Analyst position at Columbia Investment Management Company (IMC) involves contributing to the management of Columbia University's endowment through data-driven insights and quantitative analysis. The role emphasizes independent thinking and collaboration within the investment team, utilizing a modern data science platform primarily in Python. The position is hands-on and impactful, focusing on exploratory data analysis, model building, and risk measurement, with a commitment to professional development and responsibility growth over a three-year term starting in July 2025.

Requirements

• Bachelor's degree or equivalent required.
• A minimum of 2-4 years of related experience is required.
• Experience in working with time series data in the PyData stack (e.g., pandas, statsmodels, PyMC, scikit-learn).
• Fluency in data science foundations including SQL, writing clean code, version control with git & GitLab/GitHub, and performing reproducible research in Jupyter notebooks.
• Basic institutional financial, risk management, research, and/or investment management domain knowledge.

Nice To Haves

• A Master's degree in a scientific or technical discipline such as Financial Engineering, Mathematical Finance, Statistics, Data Science, Computer Science, or Economics is preferred.
• Rigorous exposure to different modeling approaches including classical forecasting, state-space and latent variable models, Bayesian methods, and causal inference.
• Experience working with data in the 'real world', including gathering, cleaning, and joining raw datasets.

Responsibilities

• Assist in performing exploratory data analysis, building models, and running experiments to generate data-driven insights across asset classes and geographies.
• Contribute to authoring production-grade reports, analytics, and dashboards for portfolio risk measurement.
• Collaborate on studies and models to encode and automate portions of the investment process.
• Interface with data vendors and evaluate the information content of datasets, working with the data engineering team to onboard and map data.
• Become familiar with risk management and portfolio construction approaches, providing production support for periodic risk reporting.

Benefits

• Salary range of $140,000-$160,000, Bonus Eligible
• Full-time position with regular hours
• Opportunity for professional development and growth

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Ambulatory Health Care Services
• Education Level: Bachelor's degree