We discover predictive signals in financial data streams using machine learning, statistical analysis, visualization, and other quantitative techniques. The streams are large (billions of events per day) and extremely noisy, but yield to sustained analysis coupled with occasional bursts of inspiration.
Our C++/Linux systems are distributed and have latency requirements specified in nanoseconds. Our input streams are big and bursty. Safety is paramount. This is not for the faint of heart.