At a Glance
- Tasks: Design and develop cutting-edge software systems for trading teams.
- Company: Dynamic finance tech firm focused on innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for rapid advancement.
- Other info: Collaborative culture valuing kindness and empathy, with excellent career growth potential.
- Why this job: Join a fast-paced environment and make an impact in the world of trading technology.
- Qualifications: Degree in Computer Science or related field; experience with Python and ML preferred.
The predicted salary is between 70000 - 90000 £ per year.
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 regardless of race, color, religion, sex, national origin, age, disability status, or any other characteristic protected by law, we encourage you to apply. #J-18808-Ljbffr
Experienced Research Engineer employer: Hudson River Trading
As an Experienced Research Engineer at our company, you will be part of a dynamic and innovative team that thrives on collaboration and cutting-edge technology. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, all while working in a fast-paced environment that encourages creativity and problem-solving. Located in a vibrant area, our company provides unique advantages such as access to industry-leading resources and a diverse range of projects across various asset classes, making it an excellent employer for those seeking meaningful and rewarding careers.
