NewPosted February 2, 2026
Research Engineer
Hudson River TradingCategory:Quantitative Development
- Seniority
- Senior
- Employment type
- Full-time
- Work arrangement
- On-site
- Salary (per year)
- $200k–$300k
- Bonus
- Yes
Requirements
- Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
- Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
- Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
- Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
- Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
- Kindness and empathy is a real requirement. No “smart jerks” at HRT.
- Strong understanding of data structures, algorithms, and design principles.
- Excellent communication skills, both written and verbal.
- HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill.
- If you have management experience, that’s always a bonus – but even so, expect to code!
- 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
About the role
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!
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.
- Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
- Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.
What you'll get
- $200k–$300k base salary
- discretionary performance-based bonuses
- a competitive benefits package
Skills
Python · C++ · pandas · scikit · pytorch · ML/Deep Learning platforms · quant research · data structures · algorithms · design principles · programming fundamentals