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Leveraging knowledge of numerical algorithms, statistical models, grid computing, and other advanced technological methods;
Building the cutting-edge tools and engines used by our quantitative analysts and researchers;
Developing and supporting the technology platform that drives world-wide trading;
Enhancing the core simulation framework and improving portfolio optimization;
Engineering complex derivative pricing to enable our macro trading.
At a minimum, a bachelor's degree in computer science, applied mathematics, or another technical discipline from a top university. Advanced degree is strongly preferred.
Excitement to work closely with Two Sigma's modelers, portfolio managers and others, to gain a deep understanding of critical aspects of Two Sigma's business.
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 Python and/or knowledge of data analysis libraries.
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