Assist in building an AI-powered knowledge repository of historical investment decisions and rationales, and develop a framework that enhances future decision-making.
Support the modernization of risk and portfolio analytics models by translating selected MATLAB codes to Python using AI coding tools, including documentation and validation.
Design and implement AI workflow prototypes for marketable and non-marketable investment teams (e.g., meeting pack generator, document intelligence pilot).
Build automated quality assurance checks for investment document management platforms (BipSync, Tetrix), focusing on tool development and process improvement.
Develop evaluation frameworks and dashboards to measure AI tool performance.
Present a capstone project summarizing findings and recommendations to the Investments Office team.

Requirements

Currently enrolled in a graduate program in quantitative finance, financial engineering, financial mathematics, or a related discipline.
Demonstrates curiosity about AI applications in investing, risk analysis, and data engineering, with a willingness to learn and apply concepts under guidance.
Basic programming and analytical abilities, with openness to learning new tools and frameworks through hands-on experience.
Ability to draft simple, clear content and summarize technical concepts for team understanding.
Works effectively with others, shows adaptability, and contributes to projects with enthusiasm and support.
Capable of managing assigned tasks, asking questions when needed, and taking ownership of work under supervision.

Benefits