Quantitative Software Engineer - MS090104
This job is no longer active.
View similar jobs.
POST DATE 9/3/2016
END DATE 12/19/2016
New York, NY
New York NY Jobs, Quantitative Software Engineer, C++, Java, Perl, Python, UNIX Shell, 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.
Seeking exceptional technologists with advanced mathematical and statistical abilities to join the team. Equal parts code experts and mathematical thinkers, quantitative software engineers bring together technical and analytical expertise to grapple with difficult computational and data-related problems directly and implement efficient and innovative solutions. Entailing a sophisticated knowledge of algorithms, statistics, and high-performance computing, this effort has attracted ACM programming competition finalists, Top Coder contenders, and other highly technical, competitive problem solvers.
Quantitative Software Engineers are responsible for bringing a wealth of ideas to fruition by designing and implementing trading strategies; and building the tools and engines that bring platforms and models to life.
-At a minimum, a bachelor's degree in computer science, applied mathematics, or another technical discipline from a top university.
-Strong numerical programming skills.
-Experience with scientific computing, algorithm development, or pattern recognition.
-A background or interest in building large-scale, real-time, and distributed applications is desired.
-Experience developing high-performance, multi-threaded applications using several programming languages including Java and C++.
-Knowledge of scripting languages such as Perl, Python, and UNIX shell.
-While we analyze the data-rich domain of finance, financial experience is not a requirement.