2027 Spring Investment Management Fixed Income Co-op Program Quantitative Analytics amp; Technology New York

About the role

The six-month Fixed Income Quantitative Analytics & Technology Co-op offers students hands-on experience applying programming, quantitative research, data analysis, and automation to investment management challenges. Participants work with portfolio managers, researchers, analysts, and business professionals across Fixed Income, including Mortgage & Securitized Investments, in New York City.

Role and placement

• Support investment strategies through quantitative research, analytics, technology, and data-driven projects.
• Potential placement includes the Mortgage & Securitized Investments Fixed Income team.
• Candidates may interview with multiple Fixed Income teams based on qualifications, interests, and business needs.

Responsibilities

• Develop and test quantitative models using financial and market data.
• Build automated workflows and analytical tools using Python, SQL, or similar technologies.
• Manage, cleanse, validate, and analyze large datasets from multiple sources.
• Create dashboards, reports, and visualizations for investment professionals.
• Develop infrastructure, monitoring tools, and reporting processes for market, holdings, and alternative data.
• Support risk, portfolio analytics, model development, testing, and ad hoc quantitative projects.

Requirements

• Pursue a bachelor's degree in a quantitative, technical, engineering, or related field.
• Expected graduation date must be after December 2028.
• Commit to six months of full-time employment and the required New York City office schedule.
• Demonstrate strong academics, analytical reasoning, quantitative ability, problem-solving, and teamwork skills.
• Have programming experience in Python, SQL, R, or similar languages, plus structured-data experience.
• Show interest in quantitative research, data analytics, automation, machine learning, or financial technology.

Preferred qualifications

• Experience with data visualization, quantitative modeling, or analytical projects.
• Familiarity with Tableau, Power BI, Dataiku, Bloomberg, Git, or similar platforms.
• Strong organizational, communication, and time-management skills, with the ability to work independently.

Application process

• Submit a resume and transcript through the Morgan Stanley website.
• Applications are reviewed on a rolling basis beginning September 2, 2026, until the role is filled.