Fixed Income Division – Associate, Public Finance Quantitative Developer & Strategist (New York)
About The Position
Morgan Stanley's Fixed Income Division is seeking a Public Finance Quantitative Developer & Strategist for its Public Finance Business in New York. This role involves developing and implementing quantitative models and applications within the fast-paced public finance market, which finances infrastructure like schools, hospitals, and transit systems. The position requires a blend of quantitative analysis, software engineering, and product thinking, with the expectation that individuals will take their own ideas from concept to production. The role focuses on building tools to understand risk, automate workflows, integrate AI for document analysis, and challenge business assumptions with data. The technology stack includes Python, Flask, React, kdb+/q, Docker, OpenAI, and Anthropic Claude, with a strong emphasis on integrating AI into all aspects of the work. The ideal candidate will be a systems thinker who can ship production-ready code, is quantitatively grounded, excited about AI, and can communicate complex ideas clearly to business stakeholders.
Requirements
- Master's or PhD in a quantitative field, or a strong undergraduate background with demonstrated hands-on experience.
- Strong Python skills, writing clean, testable, production-ready code.
- CI/CD fluency: Git, Docker, structured development workflow.
- Solid statistics and probability fundamentals.
- Some exposure to fixed income (or ability to learn quickly and ask good questions).
- Experience using GenAI coding tools (Copilot, Cursor, etc.).
- Ability to think in systems and build robust, automated solutions with logging and monitoring.
- Ability to ship ideas through design, development, testing, and deployment, and care about post-deployment performance.
- Quantitative grounding, understanding probability, statistics, and model limitations.
- Excitement about AI and experience embedding LLMs into workflows.
- Clear communication skills to explain complex ideas to non-technical stakeholders.
Responsibilities
- Build models to help the desk understand where risk is accumulating.
- Ship React dashboards to present model outputs in real time.
- Automate workflows to significantly reduce processing time.
- Integrate AI agents to extract key terms from deal documents and flag anomalies.
- Use data to question and validate business assumptions.
- Develop and deploy applications from concept to production.
Benefits
- Comprehensive employee benefits and perks
- Opportunity to work alongside the best and brightest
- Supportive and empowering environment
- Ample opportunity to move about the business
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
