OBJECTIVE Quantitative Strategist/Portfolio Manager EXPERTISE Quantitative trading strategies: Statistical Arbitrage, Market Microstructure, Forecasting Techniques. Algorithmic trading; Design and development using time series methods, statistical machine learning, digital signal processing and optimization methods; Mathematical language environments: R, S-PLUS; Maple, OOD and parallel processing in C++, Java; RDB and KDB design, development, FIX, International equity markets; EXPERIENCE October 2012 — December 2012, Buttonwood Group, Chicago • Deployed and readied for production strategy Malachite, described below. October 2011 — August 2012, Independent work, IVC ■ Implemented a set of statistical US equity strategies over high and medium frequencies (Malachite). • Strategies trade 300 of the most liquid equities and ETFs with average ADV of about 175MM. • Medium frequency average holding period is 12 hours, daily Sharpe 5.2, return 13bps / day with capacity of approximately 500MM using all aggressive execution. • Strategy gains edge via the use of original sophisticated statistical methods capturing relative market dynamics. • Extensively studied strategy execution aspects on lit venues for a range of time horizons. Nov 2009 — October, 2011 Tower Research Capital, LLC (NYC) Quantitative Strategist • Created an alpha model for a live high P&L and Sharpe ratio trading high frequency strategy applicable to spot FX, US and European futures. • Managed optimal portfolio management and allocation across multiple sources of alpha. • During the first year, live traded and implemented a high frequency trading strategy applicable to trading spot FX with a high daily Sharpe ratio and P&L. • Developed and applied a scalable and fully automated multistage statistical forecasting and trading framework as a distributed system over multiple Linux machines using R, C++ and shell scripts. • Developed an extensive set of highly predictive market