Ready to hire! 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. Work alongside the highest caliber of financial and engineering talent and expand their data science capabilities.
– Manage large amounts of complex data and run quantitative queries.
– Identify unique data sets, deep dive into a diverse set of data.
– Build statistical analysis and financial modeling techniques to large data sets.
– Master’s or PhD degree from a top tier university in a quantitative field such as statistics, mathematics, operational research, computer science, finance or economics.
– Python and Pandas programming capabilities.
– Prior experience working or Internship at a Financial firm or leading technology firm is a plus.
– Proficiency with statistical and data analysis and programming tools such as R, SAS, Stata, SQL or Matlab.
*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.
Keywords: New York NY Jobs, Data Scientist, Python, Pandas, R, SAS, Stata, SQL, Matlab, Data Analysis, Programming, Financial, New York Recruiters, Information Technology Jobs, IT Jobs, New York Recruiting
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Company Will Sponsor Visas! Company Will Relocate Candidates!
“PLEASE DO NOT APPLY” If You Are A Consulting Firm, Third Party Recruiter Or Seeking Corp-To-Corp; W-2 Direct Hire Only.