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 hundreds of millions 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 and efficiency.

In addition to my work at Tower, I contribute to technical committees supporting the software required for high-performance financial systems.

I am involved in the C++ language community in various different capacities, am a regular at the New York C++ meetup.

Public Coverage

Tech talks

C++Now 2026 - Aspen, CO - After Reflection - Building C++’s Missing DSL-Stack

Link to talk page Video not yet available

CppCon 2024 - Aurora, CO - Reflection based libraries to look forward to

CppCon is the world’s largest C++ language conference.
Link to talk page

PyCon 2024 - Pittsburgh, PA - A low latency deepdive of Python with Cython

PyCon US is the world’s largest Python language conference.
Link to talk page

CppNorth 2024 - Toronto, Canada - Writing fast code like a native

CppNorth - The Canadian C++ Conference
Link to talk page - My personal favorite talk among all these.

CppCon 2023 - Aurora, CO - Writing Python Bindings for C++ Libraries

CppCon is the world’s largest C++ language conference.
Link to talk page

C++Now 2024 - Aspen, CO - Reflection in C++ and libraries

CppNow is an intimate conference hosted annually for C++ language experts.
Link to talk page

C++Now 2023 - Aspen, CO - Writing python bindings for C++ libraries

CppNow is an intimate conference hosted annually for C++ language experts.
Link to talk page