- Senior Quantitative Developer / Research & Data Engineer
- Research & Data Engineer
- UNITED KINGDOM
Senior Quantitative Developer / Research & Data Engineer- LONDON- UNITED KINGDOMPrimary Skills -Python, C++, quantitative, research, market data, simulation frameworks
Secondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux
No. Positions - 3Remote 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 onlySalary Details:Annual Salary - £250,000 - £600,000
Other Compensation - Base + Bonus
Job DescriptionQuantitative Developer / Senior Research & Data Engineer - Systematic Trading (London)
About the OpportunityAn 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 DoingDepending 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 EnvironmentThe 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 ExperienceSuccessful 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
What Makes This Role Unique- Direct influence on critical engineering initiatives
- Significant ownership and autonomy
- Opportunity to work closely with quantitative researchers and trading teams
- Exposure to complex technical challenges involving large-scale data and systematic investing
- Competitive compensation structure including substantial bonus potential
- Access to a highly experienced leadership team and exceptional engineering peers
- Long-term career growth within a rapidly expanding quantitative organization
CompensationThe compensation package is designed to attract top-tier engineering talent and includes:
- Highly competitive base salary
- Guaranteed first-year bonus for qualified hires
- Total compensation ranging from approximately £250,000 to £600,000+, depending on experience, expertise, and impact
- Relocation support where applicable
- Visa sponsorship for eligible candidates
This position is best suited to senior engineers who enjoy solving complex technical problems, building durable platforms, and operating at the intersection of software engineering, quantitative research, and trading technology.
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