Hiring: Fixed Income Division - Analyst, Municipal Markets (New York) Company: Morgan Stanley Location: New York, NY Job Posted Time: 2026-09-16 23:40:22 Target Skills & Keywords : Derivatives, Fixed Income, Git, JavaScript, Linux, Machine Learning, NumPy, Pandas, Python About the job Required Skills: •As a Quantitative Strategist, you will work directly with traders, quantitative researchers, and engineers. You will use data and statistical analysis to identify potential trading strategies, assist with complex trades and hedging decisions, and improve the models and systems used to price securities and monitor risk. •Also help organize and maintain the team’s quantitative research environment, including its modeling software, research archive, Python packages, Linux environment, containers and testing. The role includes both immediate desk-facing analysis and longer-term research into trading strategies and market behavior. •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. •Help move machine-learning and AI models into production. •Organize and maintain quantitative models, research code, and development environments. Qualifications: •Bachelor’s degree in mathematics. •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. •Demonstrated capacity to stay calm under pressure •Positive, can do, extrovert personality Compensation: •$125,000 per year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!