Quantitative Analyst

Quantitative Analyst

Our client is a leading global asset manager specialising in systematic and quantitative investment strategies across a wide range of financial markets. The firm focuses on delivering consistent, uncorrelated returns to its investors through advanced research, technology, and disciplined execution.

Technology and data are central to the organisation’s approach. The firm develops and maintains its own high-performance trading infrastructure, sophisticated data platforms, and large-scale computational environments to support research and live trading. With teams located across multiple international offices, collaboration between investment, technology, and operations groups is a key part of their culture.

The Role

The firm is looking for a Quantitative Analyst to join its trading desk and help support the development and operation of automated trading strategies. This position sits close to the trading activity and works alongside researchers and traders to ensure strategies run efficiently in production.

Key responsibilities include:

• Supporting and enhancing the codebase and configuration of systematic trading strategies within the firm’s automated trading environment
• Managing and maintaining large datasets used for both research and live trading systems
• Monitoring trading activity in real time and performing historical analysis, including post-trade investigations and production reconciliation
• Collaborating closely with quant researchers and trading teams to adapt systems and tools to the evolving needs of the desk

Requirements

• Degree in Computer Science, Engineering, or another quantitative/technical discipline
• Strong programming ability in at least one major language such as

Python, C\+\+, or Java

• Excellent attention to detail and a methodical approach to problem solving
• Strong communication skills and the ability to work effectively with teams across multiple global locations
• Comfortable working in

Linux environments

• Ability to operate in a fast-paced environment and manage competing priorities under pressure