Municipal Fixed Income Quant Analyst - Trading & Risk

PowerToFly; New York (NY); On-site; USD 110,000 - 125,000; Full time

Job summary

Morgan Stanley's Quantitative Strategist role integrates with traders, researchers, and engineers to identify trading strategies, hedge decisions, and pricing models. You will improve models and systems for pricing, risk, and desk analytics.

The role includes maintaining modeling software, research archives, Python packages, Linux environments, containers, and testing, with desk-facing analysis and long-term research in trading behavior.

Qualifications

• Bachelor’s degree in mathematics.
• Masters in STEM fields (Applied Math, MFE, OR, Statistics, Physics, Engineering).
• Strong knowledge of probability, statistics, numerical methods, and mathematical modeling.
• Good programming skills, preferably in Python.
• Familiarity with Linux, Git, containers, pandas, and NumPy.
• Strong interest in trading and financial markets.
• Ability to take ownership of software, models, and research processes.
• Excellent analytical, organizational, and communication skills.
• Collaborative personality and interest in working with PEOPLE on trading desk.
• Ability to stay calm under pressure.
• Positive, can do, extrovert personality.
• Experience with fixed income, derivatives, bond mathematics, JavaScript, kdb+/q, ML, or production model deployment is helpful but not required.
• Recent graduates and candidates with up to three years of relevant experience are encouraged to apply.

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

Probability & statistics

Numerical methods

Python

Linux

Git

pandas/NumPy

Machine learning

Analytical thinking

Education

Bachelor’s degree in mathematics

Master’s degree in STEM (Applied Math / MFE / OR / Statistics / Physics / Engineering)

Tools

Python

Linux

Git

pandas

NumPy

kdb+/q

JavaScript

Job description

Morgan Stanley's Quantitative Strategist role integrates with traders, researchers, and engineers to identify trading strategies, hedge decisions, and pricing models. You will improve models and systems for pricing, risk, and desk analytics.

The role includes maintaining modeling software, research archives, Python packages, Linux environments, containers, and testing, with desk-facing analysis and long-term research in trading behavior.