Quantitative Strategist: Municipal Bonds & Markets

Morgan-Stanley; Town of Islip (NY); On-site; USD 110,000 - 125,000; Full time

Job summary

Morgan Stanley's quantitative desk in New York seeks a Quantitative Strategist to collaborate with traders, researchers, and engineers. You will apply data analysis to identify strategies, assist with complex trades and hedges, and improve pricing models and risk systems.

You will maintain the team's modeling software, research archive, and development environment, communicating findings to stakeholders across the desk.

Qualifications

• Bachelor’s degree in mathematics.
• Masters degree in STEM (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, 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.
• 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.

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

Mathematics

Probability

Statistics

Numerical methods

Mathematical modeling

Python

Machine learning

Trading/Finance

Ownership of software

Analytical skills

Communication skills

Education

Bachelor's degree in mathematics

Masters degree in STEM (Applied Math, MFE, OR, Statistics, Physics, Engineering)

Tools

Linux

Git

Pandas

NumPy

Containers

KDB+/Q

JavaScript

Machine learning frameworks

Job description

Morgan Stanley's quantitative desk in New York seeks a Quantitative Strategist to collaborate with traders, researchers, and engineers. You will apply data analysis to identify strategies, assist with complex trades and hedges, and improve pricing models and risk systems.

You will maintain the team's modeling software, research archive, and development environment, communicating findings to stakeholders across the desk.