Morgan Stanley is seeking a quantitative professional to join their Public Finance Business within the Fixed Income Division. The role involves building models and applications that enhance risk assessment and workflow automation in a fast-paced financial environment. Candidates will work with advanced technologies, including AI, to innovate and improve existing processes. This position offers the opportunity to make a significant impact by developing tools that are actively used in decision-making.

• Master's or PhD in a quantitative field, or a strong undergraduate background with demonstrated hands-on experience.
• Strong proficiency in Python, capable of writing 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 Generative AI coding tools such as Copilot or Cursor.

• Build models to help the desk understand risk accumulation.
• 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.