Senior Quantitative Developer / Research & Data Eng. - LONDON - 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

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.

IND123