Morgan Stanley’s Automated Market Making (“AMM”) Team is looking for an Options trader to join the US team. The AMM Team consists of traders, quantitative strategists, software developers, hardware developers, infrastructure and networking specialists, and data architects all collaborating to build and expand a cutting-edge system that trades over 1,000,000 securities on 2,500 underliers across 15 options exchanges. The desk operates at the intersection of finance and technology, and many of the system designs and models used to drive the engine sit on the forefront of innovation.
Roles and Responsibilities:
- Making trading decisions and managing risk across a large portfolio of equity, ETF, and index options
- Sourcing and maintaining data inputs into the trading system, including a calendar of events and other catalysts that drive market volatility
- Collaborating with others traders, strategists, and developers to develop new models and trading strategies
- Delivering real-time feedback and ideas to other teammates that can take the group to the next level
- Conducting large-scale data analysis to analyze trading performance and to evaluate new opportunities in the market
Qualifications/Skills/Requirements:
- You are pursuing a Bachelor’s degree or 5-Year Master’s with a graduation date between December 2024 and June 2025
- Have a background in a technical aptitude: Computer Science, Statistics, Engineering, Mathematics, Data Science or a related field
- Have an interest in finance and markets
- Can perform and communicate sound, logical reasoning when solving a problem
- Approach tasks with meticulous attention to detail
- Can pick up a multitude of broad, integrated concepts quickly
- Can both synthesize large, complex problems and be able to dive into detail when necessary
- Can communicate research and findings with people with various backgrounds, skillsets, and expertise
- Demonstrate a healthy curiosity and entrepreneurial spirit
- Are comfortable with large datasets and are able to understand, scrutinize, identify issues, and make sound conclusions on the data
- Are familiar with coding languages (e.g. Python or Q) and research platforms (e.g. Jupyter).
Expected base pay rate(s) for the role will be $110,000 – 115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley’s goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).