Investment Quantitative Analyst

Quantitative Analyst, Operations (3-year term position)

The Office of University Investments is seeking a highly qualified, entry level Quantitative Analyst. This is a three-year term position in OUI's New York City office with a start date of summer 2026 (earlier is possible). The office currently operates on a hybrid schedule with 4 days a week in person, 1 day remote.

No relocation assistance is provided for this position.

No Visa sponsorship is provided for this position.

US nationals and applicants with current visa status (including OPT) who do not require Visa sponsorship and are able to fulfil the three-year term will be considered for this opportunity.

Please note: A PDF resume must be attached to the candidate's application materials (labeled LastFirstOUI).

Who we are:

The Office of University Investments (OUI) manages the University's $11+ billion endowment which supports this mission by seeking to generate superior risk-adjusted returns through traditional and alternative investments in US and international equities, fixed income, hedge funds, private equity, venture capital, and real assets. The global, multiple-asset class approach taken exploits a central insight of modern financial theory: namely, that portfolio risk can be minimized for any targeted rate of return through the inclusion of a broad selection of asset classes - since risky asset classes often behave differently as regional and global economic, financial, and political events unfold.

The Chief Investment Officer is responsible for the day-to-day oversight of the Investment Office and is supported by a dedicated team of investment professionals. The Investment Office is responsible for implementing policies established by the University Board of Trustees and its Investment Committee. To learn more about OUI's policies, objectives, and organizational structure, please visit our website.

Quantitative Analyst Program Purpose and Goals:

Working under the direction of the Senior Investment Officer, Risk and Portfolio Analytics, this individual will use quantitative techniques (typically via the application of various coding and statistical skills) to provide insights to colleagues across investment, risk management, and operations functions of the Office of University Investments (OUI) and contribute to the development and maintenance of analytical tools and applications that support the efficient management of the Cornell portfolio. In order to integrate coding, quantitative, and statistical skills with investment operations, OUI encourages and supports Quantitative Analysts as they make progress toward the Chartered Financial Analyst (CFA) designation.

Responsibilities:

• Writing Code and Building Reports: Work independently on assigned projects to build a robust code base and reporting library for the office, while maintaining clean data sets and sources and automating as many routine tasks as possible.
• Scoping Projects with Operations and Investment Team Members: Work with senior staff and investment analysts to determine needs and best implementations of projects and reporting tools.
• Optimizing Industry-Leading Investment/Finance Applications: Use industry-leading applications to enhance Office's capabilities in assessing portfolio construction issues, investment underwriting, and aid recording keeping obligations
• Working with Service Providers on Data Quality and Feature Requests: Reach out to our primary service providers (Caissa, BNY Mellon, etc.) to resolve data errors and track progress on feature requests to improve the platforms for office use.
• Ensuring Robust Reporting Packages/Procedures: Update, review, manage, and run daily, monthly, and quarterly reporting packages, with a keen eye on data quality and robustness, and distribute them to relevant parties within the office and at DFA. Identify critical changes and issues that may arise with reporting that may require Office action, and suggest and implement improvements to reporting packages and procedures.
• Work cooperatively with and, as necessary, as back up to the investment staff. Assist with special projects and perform other duties as necessary for the office's operation. Stay up to date on best practices in software engineering, operations, and portfolio analytics.

Required Qualifications:

• Bachelor's degree or equivalent: Computer Science, Information Science, Physics, Mathematics, Statistics, Engineering, or another STEM field (Master's degree candidates welcome).
• Relevant experience: Up to 6 months of related or relevant experience.
• Coding skills: Knowledge of Python and use of (or the ability to quickly learn) RESTful APIs is required, and knowledge of VBA and Excel is preferred. Strong knowledge in areas of Computer Science that are relevant for financial databases and modeling, including data structures and algorithms.
• Excellent computer skills, including thorough familiarity with multiple programming languages, some experience in writing non-trivial programs, and familiarity with common algorithms, mathematical knowledge relevant to Quantitative Finance (probability theory, statistics, and numerical methods). Some familiarity with institutional and market aspects of finance, as well as quantitative methods used in finance is highly desirable.
• Excellent qualitative and interpersonal skills: Applicants must be capable of interacting effectively with external investment managers, the campus community, and the University's Investment Committee.
• Strong quantitative capabilities: This person must be comfortable with using general quantitative models and techniques, self-motivated, capable of working both in a team environment and/or independently, and able to anticipate and minimize the errors in one's work.

Desired Skills:

• Experience using necessary skills in a financial setting would be highly desirable.
• Knowledge of probability theory, statistics, and/or numerical methods.
• Knowledge of VBA and Excel.
• A willingness to undertake and complete the CFA designation (https://www.cfainstitute.org/en/programs/cfa).
• Prior experience reading academic and/or white papers related to both theory and methods.
• Knowledge of industry-leading software.
• Willingness to learn custodial and third-party software for performance and risk measurement.
• Demonstrated interest in learning about investment theory and practice, economics, and financial markets.
• Exhibits a passion for integrating his/her STEM background with the needs of finance and investment professionals and be an engaged learner of investment theory and practice.

Rewards and Benefits:

• Cornell receives national recognition as an award-winning workplace for our health, wellbeing, sustainability, and diversity initiatives.
• Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: https://hr.cornell.edu/benefits-pay.
• Follow this link to learn more about the Total Rewards of Working at Cornell: https://hr.cornell.edu/jobs/your-total-rewards.
• Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program.

The Office of University Investments is located in Midtown Manhattan, centrally located near Times Square and Bryant Park.

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