September 21, 2016

Quantitative Analyst

New York, NY - New York, NY

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  • Company
    New York, NY New York, NY
  • Location
    New York, NY
  • Job Type
  • Job Classification
    Full Time
  • Company Ref #
  • AJE Ref #
  • Number of Positions

Job Description


New York NY Jobs, Quantitative Analyst, C/C++, Java, New York Recruiters, Information Technology Jobs, IT Jobs, New York Recruiting


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 world-class Researchers and Engineers who are obsessive about data analysis and the pursuit of its greatest challenges. Cracking complex problems in the financial markets requires exceptional knowledge of computational methods, numerical algorithms, and statistical approaches. Company undertaking has brought on-board Putnam finalists, International Mathematical Olympiad medalists, and accomplished researchers from across many industries.


-A bachelor's or advanced degree in quantitative disciplines.

-Experience working with large data sets.

-Strong programming skills in Java, C, or C++.

-Solid numerical programming abilities.

-Innate curiosity and resourcefulness.

-While we analyze the data-rich domain of finance, financialexperience is not a requirement.