Quantitative Analyst - MS090101
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POST DATE 9/3/2016
END DATE 12/19/2016
New York, NY
New York City NY Jobs, Quantitative Analyst, C/C++, Java, Python, Quant, R, MatLab, New York Recruiters, Information Technology Jobs, IT Jobs, New York Recruiting
SEND YOUR RESUME TO RAUL@PARALLELPARTNERS.COM.
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.
Researchers are the explorers and the dreamers of what's possible and what's next. They delve into the vast sea of data in the pursuit of truth. Guided by the scientific method and driven to unearth the new, they devise models that begin with inspired ideas or economic hypotheses. In a systematic, process-driven fashion, these models are expanded, tested, and, if successful, integrated into our investment portfolios. These models seek to predict the future and provide a market edge.
Research and technology are united as one. Scientific bent and commitment to staying at the forefront of technological advancement enable researchers to continuously investigate the hardest problems and analyze the most formidable data sets, with speed and precision.
Researchers are passionate about model building, data analysis, and the possibilities that they hold for exploration, insight, and illumination. We are seeking individuals who are curious, intellectually driven, practical, and purposeful. The team is comprised of a diverse set of empirical and imaginative thinkers - eager to mix quantitative discipline with creative problem solving.
This role sits within the Execution Modeling team and is responsible for preparing execution data sets, owning the data management process, and analyzing and fitting transaction cost models.
-An advanced degree (Masters or PhD) in quantitative disciplines.
-Strong programming skills preferably in Java, C/C++ or Python.
-Solid statistical knowledge and familiarity with packages such as R, Pandas, SAS or MatLab.
-Experience working with large data sets and building predictive models.
-Experience working with transaction cost analysis or market impact modeling and authoring of white papers in these areas a plus.