About the role#
The Fixed Income Quantitative Analytics and Technology Co-op program offers students a chance to apply technical and analytical skills to real-world investment management challenges. You will work with portfolio managers, researchers, and analysts to build tools, automate processes, and support investment decisions. This role provides exposure to the intersection of finance, technology, and data.
What you'll do#
- Conduct quantitative research 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, and analyze large datasets from multiple sources.
- Create dashboards, reports, and visualizations for investment professionals.
- Develop and maintain infrastructure for market, holdings, and alternative data.
- Integrate new data sources into existing reporting 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 and monitoring.
- Assist in the development of risk and portfolio analytics tools.
- Complete ad-hoc technology and quantitative projects based on business needs.
What you'll need#
- Pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Mathematics, Engineering, Quantitative Finance, or a related field.
- Expected graduation date after December 2028.
- Ability to commit to six months of full-time employment from January 2027 to June 2027.
- Experience programming in Python, SQL, R, or similar languages.
- Experience working with structured datasets.
- Strong academic record and demonstrated problem-solving skills.
- Interest in quantitative research, data analytics, automation, machine learning, or financial technology.
- Strong organizational and communication skills with the ability to work independently or in a team.
- Experience with data visualization, quantitative modeling, or analytical projects is preferred.
- Familiarity with tools such as Tableau, Power BI, Dataiku, Bloomberg, or Git is a plus.
Location & details#
- Location: New York, New York.
- Modality: On-site.
- Term: Winter 2027 (January to June).
- Employment: Full-time co-op.
- Compensation: $30.00 to $40.00 per hour.
About Morgan Stanley
Morgan Stanley provides investment banking, securities, wealth management, and investment management services. The firm operates in 42 countries and serves corporations, governments, institutions, families, and individuals. It maintains a global presence with over 100,000 employees. The company focuses on helping clients raise, manage, and allocate capital.
How to get in at Morgan Stanley
Securing an internship at Morgan Stanley requires speed because the volume of applicants is high. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first. Getting your application in early ensures it is seen before the pile grows too large for recruiters to manage. You can gain a significant advantage by reaching out to the recruiters behind the roles directly. Intern Insider surfaces these contacts so you can ask about the role or a referral, which often improves response rates compared to submitting through a general queue.



