Full Job Description
Automated Market Making (AMM) Trader
POSTING DATE: Sep 21, 2021
PRIMARY LOCATION: Americas-United States of America-New York-New York
JOB: Investment Banking/Sales/Trading/Research
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate
Morgan Stanley’s Automated Market Making (“AMM”) Team is looking for a 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.
Traders on the AMM team are responsible for:
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
We are looking for individuals who:
1 – 5 years of experience in trading or other relevant areas
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
Have a background in a technical aptitude: Computer Science, Statistics, Engineering, Mathematics, Data Science or a related field
Are familiar with coding languages (e.g. Python or Q) and research platforms (e.g. Jupyter).
Though there is an expectation to show aptitude in the technical skills at the end of the list above, a deep understanding is not required to apply. Above all, we are looking for individuals who can combine their skills and the qualities above with an eagerness and excitement to learn things outside of their comfort zone.
This company is hiring for this role at multiple locations.