Municipal Markets Quant: Analyst/Associate, Fixed Income

Morgan Stanley; New York (NY); On-site; USD 125,000 - 200,000; Full time

Job summary

Morgan Stanley is seeking a Quantitative Strategist in New York to collaborate directly with traders and researchers. You will identify trading strategies, assist with hedging decisions, and improve pricing and risk models for municipal bonds and derivatives.

You will organize the research environment, manage Python packages, Linux workflows, containers, and testing. Strong math, programming, and communications skills are essential.

Qualifications

• Bachelor’s degree in mathematics or related field.
• Graduate degree in STEM strengthens candidacy.

Responsibilities

• Research and test quantitative trading strategies.
• Help traders evaluate complex transactions, hedge selection, position sizing, and execution timing.
• Develop pricing and risk models for municipal bonds, bond derivatives, and related products.
• Analyze inventory risk, trading activity, and profit-and-loss performance.
• Apply statistics and machine learning to trading, pricing, and risk-management problems.
• Help move machine-learning and AI models into production.
• Organize and maintain quantitative models, research code, and development environments.
• Communicate analytical findings clearly to traders and other stakeholders.

Skills

Python programming

Analytical skills

Statistical modeling

Interest in trading

Software ownership

Team collaboration

Working under pressure

Communication skills

Education

Bachelor’s degree in mathematics

Master’s degree in STEM (Applied Math / MFE / OR / Stats / Physics / Eng)

Tools

Python

Linux

Git

Containers

Pandas

NumPy

JavaScript

Kdb+/q

Job description

Morgan Stanley is seeking a Quantitative Strategist in New York to collaborate directly with traders and researchers. You will identify trading strategies, assist with hedging decisions, and improve pricing and risk models for municipal bonds and derivatives.

You will organize the research environment, manage Python packages, Linux workflows, containers, and testing. Strong math, programming, and communications skills are essential.