At a Glance
- Tasks: Design and enhance market data infrastructure for trading systems and build scalable platforms for researchers.
- Company: Leading quantitative investment firm with a high-performance engineering culture.
- Benefits: Competitive salary, substantial bonuses, relocation support, and visa sponsorship available.
- Other info: Significant ownership and autonomy with excellent career growth opportunities.
- Why this job: Join a dynamic team and tackle complex challenges in systematic investing and quantitative research.
- Qualifications: Bachelor's degree in a quantitative field and 6+ years of software engineering experience required.
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
- 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
- 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
- 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
Compensation
The 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.
Senior Quantitative Developer / Research & Data Eng. - LONDON - UNITED KINGDOM employer: Park Lane Recruitment Ltd
Join a leading quantitative investment organisation in London, where you'll collaborate with top-tier researchers and technologists in a dynamic and innovative environment. With a strong focus on engineering excellence, this role offers significant ownership of critical systems, competitive compensation, and ample opportunities for professional growth within a rapidly expanding team. Experience the unique advantage of working at the heart of systematic investing while enjoying a culture that values collaboration and technical prowess.
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