Full Stack Analytics Engineer - MS090109
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POST DATE 9/3/2016
END DATE 12/19/2016
New York, NY
Will relocate the right candidate. Will Sponsor Visa's. Will only consider candidates from top tier computer science universities and/or individuals with a stellar GPA. Bachelor's and/or Master's degree from a top computer science program with a GPA of 3.5 or higher. PhD preferred. Top computer science program preferred (Carnegie Mellon University, Massachusetts Institute of Technology/MIT, Stanford University, University of California-Berkeley, Cornell University, University of Illinois-Urbana-Champaign, Princeton University, University of Washington, University of Texas-Austin, Georgia Institute of Technology, California Institute of Technology, University of Wisconsin-Madison, University of Michigan-Ann Arbor, etc.
Ready to hire! Hiring several in this role. Fantastic opportunity with a very successful company with cutting-edge technology and a staff consisting of many of the brightest quantitative talent in the world.
Seeking a Full Stack Analytics Engineer to turn live streams of data with millions of events into intuitive visualizations. This will help company understand what is going on in the market and trading strategies. You will be involved in:
-A high impact role that works directly with business and trading teams.
-Exposure to deep technical problems, production trading systems, quantitative analysis, and how markets work.
-Strong programming and computer science skills.
-Comfortable doing back-end development in Scala.
-Proficient working in Linux.
-In this role you'll be one of the users of the system and responsible for keeping tabs on company trading system. Using the insight you get from this you'll see how the platform can be extended and improved. Most of the work has been in the back-end, but we're looking for people who want to work on the full stack and are interested in understanding the business in addition to tackling interesting technology challenges.