Quant Research Engineer: Build & Deploy Trading Tools

Wehrtyou; Greater London; On-site; GBP 150,000 - 225,000; Full time

Benefits offered by this job

Discretionary bonus

Competitive benefits

Job summary

Hudson River Trading (HRT) is seeking highly motivated Research Engineers to collaborate with Algo Developer teams on cutting-edge quantitative research and trading systems. You will design, develop, and maintain scalable software while advancing research tooling and large deep learning models for live trading.

We expect strong programming fundamentals, python/C++ proficiency, and experience with ML libraries.

Qualifications

• BS or MS in CS, Engineering or related technical field.
• Experience at top finance or tech company with rapid advancement.
• Hands-on experience with quant research and ML/DL platforms is a plus.
• Experience with Python numerical, ML libraries is a big plus.
• Interview process may include Python or C++ coding.

Responsibilities

• Design, develop, and maintain robust, scalable software systems.
• Optimize code for performance, reliability, and efficiency.
• Debug complex distributed systems in time-sensitive environments.
• Advance research workflows for Algo Developer teams and provide tooling.
• Share technology across trading teams to align goals.

Skills

Python

C++

Algorithms

Data structures

ML/Deep Learning

Distributed systems

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

Pandas

Scikit-learn

PyTorch

Job description

Hudson River Trading (HRT) is seeking highly motivated Research Engineers to collaborate with Algo Developer teams on cutting-edge quantitative research and trading systems. You will design, develop, and maintain scalable software while advancing research tooling and large deep learning models for live trading.

We expect strong programming fundamentals, python/C++ proficiency, and experience with ML libraries.