Quantitative Developer

Overview

My client is seeking a highly capable and driven Quant Engineer to join a world-class team operating at the intersection of quantitative research and advanced computing. In this role, you will play a critical part in building and evolving the systems that underpin large-scale scientific research and systematic trading strategies.

You will work closely with research teams, enabling complex modelling and experimentation by delivering high-performance, scalable software solutions. This is a hands-on position where your work will directly impact the firm’s ability to generate alpha, supporting cutting-edge research through robust and efficient engineering.

Responsibilities

• Designing, building, and maintaining a sophisticated internal research stack, including distributed systems, containerised services, and calculation frameworks.
• Developing software that enables complex algorithms and large-scale simulations to run efficiently across distributed environments.
• Collaborating closely with research teams to understand emerging requirements and translate them into scalable software solutions.
• Improving accessibility and usability of internal systems for a diverse range of users, ensuring performance and reliability at scale.
• Contributing to the development of next-generation platforms that support alpha generation, signal research, and portfolio construction.

Requirements

• Strong software engineering fundamentals with exceptional programming ability and a passion for building robust systems.
• A solid academic background in computer science, mathematics, statistics, or a related field (or equivalent practical experience).
• Language-agnostic mindset, with experience in languages such as Python, C++, or Java considered beneficial.
• Understanding of systems design, distributed computing, and performance optimisation in complex environments.
• Ability to work closely with researchers, translating complex scientific needs into practical engineering solutions.
• A methodical approach to problem-solving, particularly in performance-critical systems.

Benefits

• Competitive salary and performance-based bonus opportunities.
• A collaborative, high-performance environment with direct impact on business outcomes.
• Exposure to cutting-edge quantitative research and advanced computing challenges.
• Strong emphasis on professional growth, learning, and working with top-tier engineering and research talent.