At a Glance
- Tasks: Design and develop cutting-edge software systems for high-frequency trading.
- Company: Join a leading finance tech firm with a collaborative culture.
- Benefits: Competitive salary, performance bonuses, and comprehensive benefits package.
- Other info: Opportunities for rapid advancement and a supportive team environment.
- Why this job: Make an impact in the fast-paced world of algorithmic trading.
- Qualifications: Degree in Computer Science or related field; experience in Python and ML preferred.
Overview
We are seeking highly motivated, skilled Research Engineers to collaborate closely with our Algo Developer (Quant Research) trading teams.
The role demands exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast‑paced environment with evolving requirements.
Examples of projects you may work on 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 live trading.
- Improving monetization systems that turn predictions into profitable trades.
- Evaluating simulation versus live differences to improve fidelity of 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 strategies.
- Working across a wide variety of asset classes (equities, fixed income, options) and regions (North America, Asia Pacific).
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, developing a deep intuition for research methodologies.
- Balance short‑term goals of individual trading teams with the longer‑term goals of HRT’s generalized trading platforms across teams.
- Share technology and ideas across trading teams in a non‑siloed environment.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Challenging classes, programs, and projects are preferred.
- Previous experience at a top‑tier finance or technology company with an excellent track record of rapid advancement and stellar reviews.
- Experience supporting internal users; bonus for hands‑on experience with quant research and/or ML/Deep Learning platforms.
- Experience with Python numerical, ML, and data‑oriented libraries (e. g., pandas, scikit‑learn, Py Torch).
- Prepared for technical interviews in Python or C++; proficiency will be assessed during the interview process.
- Kindness and empathy are required; we value a collaborative, respectful culture.
- Strong understanding of data structures, algorithms, and design principles.
- Excellent written and verbal communication skills.
- Ability to thoughtfully, methodically, and reliably deploy new software and features.
- Management experience is a bonus, but coding will remain a core responsibility.
Compensation & Benefits
Base salary range
USD 200,000 to 300,000 per year (local equivalent).
The base pay may vary based on location, experience, and other individualized factors.
This role is eligible for discretionary performance‑based bonuses and includes a competitive benefits package.
Equal Opportunity Statement
HRT is an equal opportunity employer; regardless of race, color, religion, sex, national origin, age, disability status, or any other characteristic protected by law, we encourage you to apply.
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