About me / links

I’m Saksham Sharma, a Computer-Scientist turned Quant, and Director of Quantitative Research Technology at Tower Research Capital LLC, based out of New York. I lead our efforts on improving Machine Learning system performance for financial trading, while designing extremely low-latency trading systems and developing complex algorithmic trading strategies for global financial instruments that trade billions of $USD daily. Through my work, I help design, run, and scale Tower’s quantitative trading strategies competitively across all the world’s major financial exchanges, across all asset classes - improving market price-discovery efficiency across the board.

Alongside my professional work, I contribute to technical committees supporting the software required for high-performance financial systems. I am a member of WG21, The ISO C++ committee which helps standardize and improve the C++ programming language, and am a regular speaker at various major programming language conferences. I am also a member of the Boost organization. I am involved in the C++ language community in various different capacities, am a regular at the New York C++ meetup, and am currently contributing to the development of the Beman project.