# 2027 Spring Investment Management Fixed Income Co-op Program – Quantitative Analytics & Technology New York [Morgan Stanley](https://www.jorb.ai/firms/morgan-stanley.md) · New York · United States · [Asset Management](https://www.jorb.ai/jobs/asset-management.md) Morgan Stanley is hiring a 2027 Spring Investment Management Fixed Income Co-op Program – Quantitative Analytics & Technology New York in New York. Posted 2026-09-18; applications close 2026-11-17. **Apply**: https://morganstanley.tal.net/vx/lang-en-GB/mobile-0/brand-2/xf-c0cbd029cd14/candidate/so/pm/1/pl/1/opp/22198-2027-Spring-Investment-Management-Fixed-Income-Co-op-Program-Quantitative-Analytics-Technology-New-York/en-GB Posted 16h ago. ## Role details ## Morgan Stanley Investment Management (MSIM) Co-op Program Morgan Stanley Investment Management ("MSIM"), along with its investment advisory affiliates, boasts over 1,300 investment professionals globally and manages $2 trillion in assets under management or supervision as of June 30, 2026. MSIM is committed to delivering strong, long-term investment performance, outstanding service, and a comprehensive suite of investment management solutions to a diverse clientele, including governments, institutions, corporations, and individuals worldwide. The MSIM Fixed Income Quantitative Analytics & Technology Co-op Program offers students the chance to apply technical, quantitative, and analytical skills to real-world investment management challenges. Co-ops collaborate with portfolio managers, quantitative researchers, analysts, and business professionals to build tools, automate processes, analyze data, and support investment decisions across various fixed income strategies. Participants gain valuable exposure at the intersection of finance, technology, and data through hands-on experience, mentorship, and training, building skills critical for future careers in investment management, analytics, technology, and quantitative research. Candidates applying to this program may be considered for roles 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: - Mortgage & Securitized Investments _Note: Candidates may be considered for and selected to interview with multiple Fixed Income teams based on their background, interests, qualifications, and business needs._ ## Responsibilities Participants will be responsible for: - Conducting quantitative research and analysis to support investment strategies. - Developing and testing quantitative models utilizing financial and market data. - Building automated workflows and analytical tools using Python, SQL, or similar technologies. - Managing, cleansing, validating, and analyzing large datasets sourced from multiple locations. - Creating dashboards, reports, and visualizations for investment professionals. - Developing and maintaining infrastructure that supports market, holdings, and alternative data. - Integrating new data sources into existing reporting and analytical processes. - Building tools to monitor discrepancies between modeled and live investment strategy performance. - Automating trading, reporting, and financial analysis workflows. - Supporting quantitative research teams in model development, testing, and monitoring. - Assisting in the creation of risk, portfolio analytics, and reporting tools. - Completing ad-hoc technology, analytics, and quantitative projects to support business requirements. ## Qualifications and Requirements ### Commitment & Education - Ability to commit to six months of full-time co-op employment and maintain a required in-office schedule in a New York City office, starting January 2027 through 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. ### Skills & Experience - 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, coupled with the ability to work independently and collaboratively in a team environment. ## Application Process and Compensation 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 September 2, 2026, until the role is filled. Expected base pay rates for the role are between $30.00 and $40.00 per hour at the commencement of employment. Please note that final base pay will be determined on an individualized basis and constitutes only a part of the total compensation package, which may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. ## Applying to this role This 2027 Spring Investment Management Fixed Income Co-op Program – Quantitative Analytics & Technology New York role at Morgan Stanley runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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