Municipal Markets Quantitative Strategist

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

Job summary

Morgan Stanley in New York is seeking a Quantitative Strategist to work directly with traders, researchers, and engineers. You will use data and statistics to identify trading strategies, assist with hedging decisions, and improve models used to price securities and monitor risk.

You will organize the team’s research environment, including modeling software, archives, Python packages, Linux environment, containers and testing, with both desk-facing analysis and longer-term research into market

Qualifications

• Bachelor’s degree in mathematics.
• Masters degree in STEM, preferably Applied Math, MFE, Operations Research, Statistics, Physics, Engineering.
• Strong knowledge of probability, statistics, numerical methods, and mathematical modeling.
• Good programming skills, preferably in Python.
• Familiarity with, or an interest in learning, Linux, Git, package management, containers, pandas, and NumPy.
• Strong interest in trading and financial markets.
• The ability to take ownership of software, models, and research processes.
• Excellent analytical, organizational, and communication skills.
• A collaborative personality and an interest in working closely 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, machine learning, 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. Prior municipal bond experience is not required.

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

Statistics

Mathematics

Numerical methods

Machine learning

Communication

Collaboration

Ownership of software/research

Education

Bachelor's degree in mathematics

Master's degree in STEM (Applied Math, MFE, OR, Statistics, Physics, Engineering)

Tools

Linux

Git

Pandas

NumPy

Containers

kdb+/q

JavaScript

Job description

Morgan Stanley in New York is seeking a Quantitative Strategist to work directly with traders, researchers, and engineers. You will use data and statistics to identify trading strategies, assist with hedging decisions, and improve models used to price securities and monitor risk.

You will organize the team’s research environment, including modeling software, archives, Python packages, Linux environment, containers and testing, with both desk-facing analysis and longer-term research into market