2027 Spring Investment Management Fixed Income Coop Program Quantitative Analytics amp Technology Boston

Morgan Stanley; Boston (MA); On-site; USD 41,000 - 55,000; Full time

Job summary

Morgan Stanley is offering a Fixed Income Quantitative Analytics & Technology Co-op Program in Boston. The role involves applying quantitative and analytical skills to real-world investment challenges, building models, dashboards, and automated data workflows.

Trainees work with teams on various fixed income topics and data sources. The six-month, full-time co-op requires in-person work at the Boston office starting January 2027 through June 2027, with a competitive hourly pay range and

Qualifications

• Pursuing for Bachelor's degree with expected graduation after Dec 2028.
• Strong analytical and quantitative skills.
• Experience programming in Python/SQL/R.
• Interest in quantitative research, data analytics, automation, ML, or fintech.
• Familiarity with data visualization tools is a plus.

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.
• Integrate new data sources into reporting and analytical processes.
• Automate trading, reporting, and financial analysis workflows.
• Support model development, testing, and monitoring for research teams.

Skills

Python

SQL

R

Data visualization

Machine learning

Education

Bachelor's degree in CS/Data Science/Engineering/Quantitative Finance

Tools

Tableau

Power BI

Dataiku

Bloomberg

Git

Job description

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

• 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.

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