Job Title: Quant Developer

Client: Elite systematic prop shop

Experience Level: 5+ years'

Salary: Up to £200k + Bonus + Package

Location: London (Hybrid)

About the Client

My client is one of the world's leading systematic proprietary trading firms, built around a simple philosophy: exceptional technology and exceptional people create exceptional trading performance.

Rather than treating technology as a support function, engineering sits at the very centre of the business. Every line of code directly contributes to the firm's ability to discover alpha, process unprecedented volumes of market data and execute faster than the competition.

They're now investing heavily in the next generation of their quantitative research platform, building the data and compute infrastructure that will power the firm's trading strategies for years to come.

This isn't another data engineering role. You'll be designing systems capable of handling exabyte-scale datasets, enabling researchers to interrogate enormous volumes of historical and real-time market information with extraordinary speed and efficiency.

For ambitious Quant Developers, this role also offers something increasingly rare: a genuine pathway into strategy and algorithm development, working directly alongside elite quantitative researchers as your understanding of the business grows.

Key Responsibilities

• Build at Extraordinary Scale – Design distributed Python systems capable of processing and analysing exabyte-scale market datasets with exceptional performance and reliability.
• Engineer Research Infrastructure – Create the platforms, tooling and data pipelines that enable world-class quantitative researchers to iterate faster and discover new sources of alpha.
• Solve Deep Technical Problems – Work on large-scale distributed computing, storage optimisation, parallel processing and high-performance data engineering.
• Collaborate with Elite Quants – Partner directly with researchers and traders to translate complex quantitative ideas into scalable production systems.
• Optimise Everything – Continuously improve latency, throughput and efficiency across every layer of the research platform.
• Own Complex Projects – Take responsibility for critical components from architecture through deployment and long-term evolution.
• Influence Technical Direction – Help shape engineering standards, platform architecture and future technology choices within a world-class engineering organisation.
• Move Closer to Alpha – As your domain knowledge develops, gain exposure to quantitative modelling, signal generation, strategy implementation and algorithm development.