Morgan Stanley Investment Management ("MSIM"), together with its investment advisory affiliates, has more than 1,300 investment professionals worldwide and $2 trillion in assets under management or supervision as of June 30, 2026. Morgan Stanley Investment Management strives to provide strong long-term investment performance, outstanding service, and a comprehensive suite of investment management solutions to a diverse client base, including governments, institutions, corporations, and individuals worldwide.

The MSIM Fixed Income Quantitative Analytics & Technology Co-op Program provides students with the opportunity to apply technical, quantitative, and analytical skills to real-world investment management challenges. Co-ops work alongside portfolio managers, quantitative researchers, analysts, and business professionals to develop tools, automate processes, analyze data, and support investment decision-making across a range of fixed income strategies. Through a combination of hands-on experience, mentorship, and training, participants gain exposure to the intersection of finance, technology, and data while building skills that will support future careers in investment management, analytics, technology, and quantitative research.

Potential Team Placements

Candidates who apply to the Fixed Income Quantitative Analytics & Technology Co-op Program may be considered for opportunities across several Fixed Income teams. Based on business needs and candidate qualifications, applicants may be selected to interview with one or more of the following teams:

• Emerging Markets Debt Quantitative Research
• Emerging Markets Debt Quantitative Data Analysis
• Municipal Bonds Data & Quant
• Mortgage & Securitized Investments
• Floating Rate Loans

Please note that candidates may be considered for and selected to interview with multiple Fixed Income teams based on their background, interests, qualifications, and business needs.

Responsibilities

• Conduct quantitative research and analysis to support investment strategies.
• 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 and maintain infrastructure supporting market, holdings, and alternative data.
• Integrate new data sources into existing reporting and analytical processes.
• Build tools to monitor differences between modeled and live investment strategy performance.
• Automate trading, reporting, and financial analysis workflows.
• Support quantitative research teams with model development, testing, and monitoring.
• Assist in the development of risk, portfolio analytics, and reporting tools.
• Complete ad-hoc technology, analytics, and quantitative projects supporting business needs.

Qualifications / Skills / Requirements

• Ability to commit to six months of full-time co-op employment and commute to the Boston office for the required in-office schedule. Starting January 2027 until June 2027
• Pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Mathematics, Engineering, Quantitative Finance, or a related field, with an expected graduation date after December 2028.
• Strong academic record and demonstrated analytical, quantitative, and problem-solving skills.
• Experience programming in Python, SQL, R, or similar languages and working with structured datasets.
• Interest in quantitative research, data analytics, automation, machine learning, or financial technology.
• Experience with data visualization, quantitative modeling, or analytical projects is preferred.
• Familiarity with tools such as Tableau, Power BI, Dataiku, Bloomberg, Git, or similar platforms is a plus.
• Strong organizational, communication, and time-management skills, with the ability to work independently and collaboratively in a team environment.

Application Process and Deadline

In order to be considered, candidates must apply with their resume and transcript through the Morgan Stanley website. Resumes will be reviewed on a rolling basis starting 9/2/2026 until the role is filled.

Expected base pay rates for the role will be between $30.00 and $40.00 per hour at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs