Our high frequency quant strategists focus on automated trading strategy development at varying time horizons across equities, futures and FX instruments.  Their responsibilities include tick-level data analysis and real-world trading experimentation to define strategy decision-making.  This team of strategists leverages technology to confront problems ranging from market micro-structure to broader portfolio creation.

Ideal candidates will have: a bachelor’s or advanced degree from a top university in a highly technical subject such as Computer Science, Engineering, Physics, Statistics, or Mathematics; demonstrated motivation and resourcefulness in quickly solving difficult problems through the creative application of technology; and experience in Java, C/C++, Perl, and/or Python. Familiarity with various analytical packages (Mathematica, Matlab, PyLab, or R) is a plus. Trading experience is not required.