Senior Quantitative Developer​/Research & Data Eng UNITED Kingdom

Position: Senior Quantitative Developer / Research & Data Eng UNITED KINGDOM
Senior Quantitative Developer / Research & Data Engineer Research & Data Engineer UNITED KINGDOM Senior Quantitative Developer / Research & Data Engineer - LONDON - UNITED KINGDOM Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks Secondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux No. Positions - 3 Remote Status - No Remote Client Willing to Sponsor - Yes Degree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLY Relocation Paid - Yes Recruit From UK only Salary Details:
Annual Salary - £250,000 - £600,000 Other Compensation - Base  Bonus

Job Description Quantitative Developer / Senior Research & Data Engineer - Systematic Trading (London) About the Opportunity An established quantitative investment organization managing multi-billion-dollar assets is expanding its London engineering team. The firm combines the resources, stability, and track record of a leading investment manager with the agility and technical culture of a high-performance engineering organization.

This is an opportunity to work alongside world-class quantitative researchers, traders, and technologists while building the core platforms that power systematic investment strategies. Engineers in this group own critical systems end-to-end and play a direct role in enabling research, simulation, data processing, and production trading.

The environment is highly collaborative, technically demanding, and focused on engineering excellence. Senior engineers are trusted with significant ownership and are expected to influence architecture, technical direction, and long-term platform strategy. What You'll Be Doing Depending on team alignment and expertise, responsibilities may include:
Designing and enhancing real-time market data infrastructure supporting research and trading systems Building scalable platforms that enable quantitative researchers to develop, validate, and deploy predictive models Creating simulation and backtesting environments capable of supporting large-scale experimentation Developing research tooling and frameworks that improve productivity across quantitative teams Engineering reliable production systems that bridge the gap between research and live trading Building data pipelines and distributed services that support high-volume analytical workloads Contributing to the architecture of next-generation trading and research infrastructure Optimizing performance-critical systems where latency, reliability, and scalability are essential Technology Environment The engineering stack includes:
Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering.

Required Qualifications Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Operations Research, or a closely related quantitative discipline Degree earned from a highly regarded university with a strong academic record Approximately 6 years of relevant software engineering experience, with flexibility for exceptional candidates Advanced Python development experience Strong proficiency in C++ Experience designing and building large-scale software platforms, frameworks, or infrastructure Deep understanding of software engineering best practices and system design principles Excellent verbal and written communication skills

Preferred Experience Successful candidates will typically have experience in one or more of the following environments:
Quantitative hedge funds Systematic investment firms Proprietary trading firms Electronic trading organizations High-performance engineering teams within leading technology companies Additional experience with the following is highly valued:
Market data systems Quantitative research platforms Backtesting and simulation frameworks Trading infrastructure Distributed computing Performance optimization Large-scale data processing…