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Quantitative Research Analyst
Seeking a Quantitative Researcher to develop, implement, and enhance algorithms and trading strategies for its automated trading system. The successful candidate will join the team of existing researchers. In addition to possessing excellent analytical and technical skills, the successful candidate will be a creative problem solver, a clear communicator, and a strong team player.
-Enhance trading strategies and algorithms, and propose new ones.
-Define and implement data collection and data acquisition methods.
-Perform statistical analyses to verify and optimize innovations and enhancements to trading models.
-Write functional requirements documentation for use by software developers.
-Collaborate closely with software developers in specification and testing process.
-Collaborate with portfolio managers to refine, express and explain new ideas and enhancements.
-Experience with Python and SQL; familiar with Linux or UNIX. In exceptional cases experience with R or Matlab can substitute for Python.
-Highly proficient in statistics.
-Experience developing financial models preferred.
-Experience with big data or with automated trading is a plus.
-Graduate degree in statistics, math, science, or another quantitative discipline. Ph.D preferred.
-Ideal candidate will have at least 1-3 years of financial markets experience.
-Highly motivated self-starter.
-Flexible, able to multi-task and work under pressure.
-Highly detailed and well-organized.
services by Next Step Systems - www.nextstepsystems.com
Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Detroit, Fort Lauderdale, Houston, Indianapolis, Jacksonville, Kansas City, Los Angeles
Miami, Minneapolis, Nashville, New Jersey, New York, Philadelphia, Phoenix, Raleigh, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Silicon Valley, St Louis, Tampa, DC
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