Fixed Income Quant Analytics Co-op: Tech-Driven Research

Morgan Stanley

Boston (MA)

On-site

USD 41,000 - 55,000

Full time

10 days ago
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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 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

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