Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field. We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies. Research Engineers at HRT work on a wide variety of projects. Examples include: Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals. Building world-class research tooling to speed up Algo Developers’ research iteration. Aiding the development and deployment of very large deep learning models for HRT’s live trading. Improving HRT’s monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live differences to improve the fidelity of our simulations. Building systems to monitor and manage live trading. Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies. Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!
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Job Type
Full-time
Career Level
Mid Level