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As a Storage Strategist at Hudson River Trading, you will be responsible for developing, planning, and executing storage solutions to meet HRT's complex and evolving needs. Your role includes collaborating with cross-functional teams, understanding user requirements, and forecasting future storage demands. You will also troubleshoot storage and networking issues while providing guidance to engineering teams.
As a Core Developer focused on ETFs, you will collaborate with the Algo Development team to design, build, and enhance automated ETF trading systems, influencing the future of live trading platforms and research tools.
The Commodities Risk Manager will design and manage risk controls for commodities trading strategies, advise management on new commodities strategies, and monitor market and liquidity risks while collaborating with operations and trading teams. The role requires building risk models and evaluating trading opportunities across multiple asset classes.
As a Quantitative Software Engineer, you will develop trading strategies and improve the reliability of signal research and simulation platforms. Your role includes building statistical analysis tools, designing infrastructure, and collaborating with quantitative researchers to create scalable solutions while advocating for best coding practices.
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.
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.
As a Software Engineer at Hudson River Trading, you will write and maintain technology integral to our trading success, working in a fast-paced environment alongside other engineers. You'll apply your knowledge of C++, OS internals, and architecture to improve our live trading systems and participate in algorithm design.
The internship involves researching and implementing automated trading strategies using advanced academic research. Interns will leverage Python and proprietary infrastructure for quantitative research, employ machine learning techniques, and collaborate with teams to analyze large datasets and develop predictive models.
As an intern, you will research and implement automated trading strategies, leveraging Python and C++. You will conduct quantitative research, collaborate with experienced teams, and use machine learning techniques on large datasets to derive insights and improve trading models.
The Algorithm Developer will build and maintain trading models using statistical analysis on market data. Responsibilities include developing, testing novel methods for order execution, analyzing daily performance, and ensuring trading efficiency.
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