Research Engineer: Build Scalable Quant Research Tools

EuroPython; Greater London; Hybrid; GBP 151,000 - 227,000; Full time

Job summary

Hudson River Trading (HRT) is a quantitative trading firm that builds and deploys cutting-edge systems across its global operations. We are seeking highly motivated Research Engineers to work closely with Algo Developer teams, solving complex problems in fast-paced, research-driven environments.

You will design, develop, and maintain scalable software for live trading, backtesting, and research tooling, with a strong emphasis on performance, reliability, and collaboration across trading desks

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Strong track record at top-tier finance or tech company with rapid advancement.
• Hands-on experience with quant research and ML/Deep Learning is a plus.

Responsibilities

• Design, develop, and maintain robust, scalable software systems.
• Optimize code for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in time-sensitive environments.
• Improve research workflows for Algo Developers and researchers.
• Share technology and ideas across trading teams beyond pods.

Skills

Algorithms

Distributed systems

Data structures

Communication skills

Python/C++

Education

Bachelor's or Master's in CS/Engineering

Tools

Python

PyTorch

Pandas

Job description

Hudson River Trading (HRT) is a quantitative trading firm that builds and deploys cutting-edge systems across its global operations. We are seeking highly motivated Research Engineers to work closely with Algo Developer teams, solving complex problems in fast-paced, research-driven environments.

You will design, develop, and maintain scalable software for live trading, backtesting, and research tooling, with a strong emphasis on performance, reliability, and collaboration across trading desks