Quant Platform Engineer - Exabyte-Scale Data & Alpha

Hunter Bond; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Hunter Bond is seeking ambitious Quant Developers for a leading systematic trading firm. You will design and implement distributed Python systems to process exabyte-scale datasets, collaborating with elite researchers to push alpha generation and trading performance.

Join a team where engineering sits at the core, with exposure to strategy and algorithm development, high-performance data platforms, and scalable infrastructure.

Qualifications

• Strong commercial Python development experience within quantitative finance or another highly complex distributed systems environment.
• Experience building large-scale distributed applications or high-performance data platforms.
• Excellent knowledge of algorithms, data structures and software architecture.
• Experience working with very large datasets and performance optimisation.
• Strong understanding of Linux environments and modern software engineering practices.
• Excellent communication skills with the ability to work alongside researchers and highly technical stakeholders.
• Computer Science, Mathematics, Physics, Engineering or similarly quantitative academic background.

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.

Skills

Python development

Distributed systems

High-performance data processing

Linux environments

Algorithms & data structures

Communication with researchers

Education

Computer Science / Mathematics / Physics / Engineering degree

Tools

Kubernetes

Cloud infrastructure

C++

Rust

Job description

Hunter Bond is seeking ambitious Quant Developers for a leading systematic trading firm. You will design and implement distributed Python systems to process exabyte-scale datasets, collaborating with elite researchers to push alpha generation and trading performance.

Join a team where engineering sits at the core, with exposure to strategy and algorithm development, high-performance data platforms, and scalable infrastructure.