Software Engineer
About The Position
Our client is one of the world's leading quantitative investment firms, where technology sits at the heart of every investment decision. Engineers build the platforms, infrastructure, and systems that enable researchers, portfolio managers, and traders to operate at scale across global financial markets. This is an opportunity to work on highly complex distributed systems, large-scale data platforms, and mission-critical applications that directly impact business performance. Engineers are given significant ownership and visibility, with their work supporting one of the largest internal user bases within the organisation.
Requirements
- Strong software engineering fundamentals, including system design, algorithms, and data structures.
- Excellent programming skills in languages such as Python, Java, C++, C#, Go, Rust, or similar.
- Experience building and operating scalable distributed systems.
- Strong understanding of databases, data processing, and software architecture.
- Ability to write clean, maintainable, and high-quality code.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
Nice To Haves
- Experience building high-performance systems, data platforms, or cloud infrastructure.
- Exposure to distributed computing, large-scale analytics, or machine learning systems.
- Background in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
- Experience working in data-intensive or highly complex technical environments.
Responsibilities
- Design, build, and maintain large-scale software systems used across the investment lifecycle.
- Develop high-performance trading and execution platforms.
- Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.
- Create scalable data pipelines that process and analyse massive datasets.
- Develop distributed computing infrastructure to support complex modelling and analytics workloads.
- Partner closely with Quantitative Researchers, Quantitative Developers, and Portfolio Managers to solve challenging technical problems.
- Continuously improve system reliability, performance, scalability, and developer productivity.
Benefits
- Highly competitive compensation package with significant performance upside.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
