Primary responsibilities include designing, implementing, and optimizing complex Python-based trading algorithms, developing high-performance software systems for quantitative trading, and collaborating with a team of skilled engineers and researchers to enhance market liquidity strategies.
Candidates must have extensive experience in Python software engineering, strong mathematical and computational skills, deep understanding of algorithmic trading principles, and the ability to work in a fast-paced, technically challenging environment. Advanced knowledge of data structures, performance optimization, and distributed computing is essential.
Hudson River Trading offers a stimulating work environment for top-tier technical talent, providing opportunities to work on cutting-edge financial technology, competitive compensation, and the chance to contribute to innovative trading solutions that impact global markets.
