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E-Trading Systems Analyst - Vice President
Morgan Stanley
New York, NY, United States
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Description
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Technology
Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses—and to our own.
Morgan Stanley Technology Information Risk (TIR) department is seeking an E-Trading systems analyst to add to our technology team in New York City. This person will be responsible for developing a variety of algorithms to detect trading related anomalies in the Firm's systems. This effort is part of a critical risk management initiative for an automated 2nd line of defense system to detect anomalies in trading patterns, market data or systems configuration.
This team works with a variety of internal users to understand their requirements and scenarios in order to develop these anomaly detection techniques. The key clients include risk managers in equity division, fixed income division as well as risk managers in operational risk department.
In addition to developing the 2nd line of defense system, the candidate's responsibilities will include researching emerging technologies and analytics solutions across the marketplace to support the goal of effective anomaly detection.
The successful candidate will have a proven ability to collaborate and communicate, the ability to quickly add value and rapidly assimilate within the team.
Qualifications
1. Minimum of Bachelors in Science degree in Computer Science / Statistics
2. Minimum of 5 years of trading systems experience either as a data analyst or as a developer of trading systems
3. Minimum of 5 years of development experience in any one or more of the following programming languages: Python / Perl / C/C++ / Java
4. Minimum of 3 years of development experience in RDBMS like Sybase/Oracle
5. Ideal candidates will have experience in Greenplum / Postgres DB
6. Ideal candidates will have experience in Machine Learning techniques for Anomaly detection