Experienced Research Engineer
Hudson River TradingBase Salary
$200k - $300k/yr
Responsibilities
- Design, develop, and maintain robust, performant, and scalable software systems.
- Optimize existing codebases for performance, reliability, and efficiency.
- Debug complex issues across distributed systems in a time-sensitive environment.
- Improve the mechanics and usability of Algo Developer research workflows.
- Design customized quantitative systems for expressing and backtesting predictive signals.
- Build research tooling that accelerates Algo Developer iteration.
- Support the development and deployment of large deep learning models for live trading.
- Improve monetization systems that convert predictions into trades.
- Evaluate simulation-versus-live differences to improve simulation fidelity.
- Build systems to monitor and manage live trading.
- Balance individual trading-team goals with generalized trading-platform goals and share technology across teams.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, or a related technical field.
- Previous experience at a top-tier finance or technology company with a strong record of advancement and performance.
- Strong understanding of data structures, algorithms, and design principles.
- Proficiency in Python or C++ for technical interview assessment; there is no hard language requirement for the role.
- Experience supporting internal users is preferred.
- Hands-on experience with quantitative research or machine learning/deep learning platforms is a bonus.
- Experience with Python numerical, machine-learning, and data-oriented libraries such as pandas, scikit, and PyTorch is a plus.
- Excellent written and verbal communication skills.
- Kindness, empathy, and the ability to deploy software thoughtfully, methodically, and reliably are required.
- Management experience is a bonus, but the role remains hands-on and requires coding.
Benefits
- Eligibility for discretionary performance-based bonuses
- Competitive benefits package
About Hudson River Trading
At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading. HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming skills and sharp quantitative minds, the founders hypothesized that by applying a fresh take to trading stocks, one that truly leverages the power of technology, they could meaningfully impact a world still dominated by manual operators. Very quickly, their algorithms saw success in the markets and HRT grew from their origins in US equities to a global, multi-asset class trading firm. Today HRT employs over 800 brilliant minds from a variety of disciplines—from highly technical to deeply mathematical to the liberal arts. We are critical thinkers and eager automators, chasing new solutions to any problem we encounter. We trade on nearly all of the world’s electronic markets, and are a leading voice for fair and open markets. Our internal code of ethics far exceeds the expectations of the regulatory environment in which we operate. We are conscientious market participants advocating for fair and transparent markets for everyone. This philosophy influences every aspect of our research. Please be aware that HRT emails will always come from the @hudson-trading.com domain; a genuine offer document will not be signed by a recruiter; and HRT will never request your personal banking information or payment of any kind during the recruitment process. If you have received what you suspect is a fraudulent offer or suspicious communication with HRT, or if you have any questions, please reach out to security@hudson-trading.com.