Experienced Research Engineer
Hudson River Trading8 months ago
Base 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
Hudson River Trading is a privately held quantitative trading firm that researches and builds automated trading algorithms and low-latency systems. It trades its own capital across global electronic markets in multiple asset classes, often acting as a liquidity provider. Founded in 2002 and headquartered in New York, the firm runs a large-scale trading platform with around-the-clock operations supporting live market activity and risk controls.