Quantitative Intern - Portfolio Engineering and Analytics

About the role

Conduct quantitative research and analysis in strategic and dynamic asset allocation, portfolio construction and optimization, and risk modeling for public and private assets. Work with senior team members on financial technology and systematic investment capabilities, translating research into algorithmic approaches and analysis-ready data. Applicants must be enrolled in a master’s or PhD program in a quantitative discipline and plan to return to study after the internship. They should have strong Python and data skills, a foundation in statistics, probability, and optimization, familiarity with portfolio and risk concepts, an interest in financial markets, and the ability to communicate technical results clearly.