The role is for a quantitative engineer in the Public Finance Business at Morgan Stanley, focusing on building models and applications that enhance decision-making in a fast-paced financial environment. The team operates within the Fixed Income Division, where professionals manage risk and execute transactions. The position emphasizes the integration of AI and automation into workflows, requiring a blend of quantitative skills and engineering expertise. Candidates will have the opportunity to directly impact the business through their contributions and innovative solutions.

• Master's or PhD in a quantitative field, or a strong undergraduate background with demonstrated hands-on experience.
• Strong proficiency in Python, with the ability to write clean, testable, production-ready code.
• Fluency in CI/CD practices, including Git and Docker.
• Solid understanding of statistics and probability fundamentals.
• Some exposure to fixed income or a strong willingness to learn quickly.
• Experience using GenAI coding tools such as Copilot or Cursor.

• Build models to help the desk understand where risk is accumulating.
• Develop a React dashboard to present model outputs in real time.
• Automate workflows to significantly reduce processing time.
• Integrate AI agents to analyze deal documents and flag anomalies.
• Challenge existing business assumptions using data-driven insights.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.