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As a Software Engineer at Hudson River Trading (HRT), you will work on critical technology and infrastructure integral to the success of trading. Responsibilities include coding in C++, working with trading algorithms in a fast-paced environment, and collaborating with a team of smart programmers.

As an Equities Risk Manager, you will design and manage risk controls for equity arbitrage strategies, monitor intraday risk limits, address risk breaches, and collaborate with operations and trading teams. You will leverage your programming skills and risk management expertise to improve risk monitoring tools and evaluate new trading opportunities.

Working as a Software Engineer at Hudson River Trading (HRT) means creating and maintaining critical technology and infrastructure integral to the success of trading. The role involves using Python for various tasks including monitoring live trading, building distributed computing platforms, and processing data.

TradeOps Engineer at Hudson River Trading responsible for managing the firm's live trading environment, handling risk, regulatory tasks, and optimizing trading activities. Responsibilities include order flow management, responding to market alerts, and improving platform performance. Requires a Bachelor's degree in a quantitative discipline and 2+ years of experience.

Seeking exceptional full-time PhD students for Algorithm Development summer internship program at HRT. Responsibilities include applying academic research to trading problems, using Python/C++ for quantitative research, and building predictive models for financial markets.

The Software Engineering Internship at HRT involves working on independent programming projects in C, C++, or Python within the algorithmic trading industry. Interns will receive hands-on training and are encouraged to learn about HRT's technology and trading infrastructure while contributing to various projects.

Join HRT's Algorithm Development summer internship program where you will work on automated trading strategies, quantitative modeling, and software development. Collaborate with experienced researchers and traders to improve trading strategies and gain hands-on experience in high-frequency trading, machine learning, and data analysis.