Position: Quantitative Developer (C++) - Central Liquidity Strategies
Location: Greater London
Quantitative Developer (C++) - Central Liquidity Strategies
We are in search of a Quantitative Developer to join our team who is passionate about designing, architecting, and implementing low latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. Our team is one the firm’s central trading teams, with focus on creating a low-latency framework for algorithmic trading. By constructing and maintaining this high-performance framework, this developer will be directly involved in a critical path for high volume trading with a core focus on the best possible technical and economic performance.
Job Duties
- Build out the C++ low-latency framework for algorithmic trading.
- Work directly with quantitative research to optimize the firm’s overall execution performance.
- Development of execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces.
- Enhance the platform's efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
- Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
- Assist in building and maintaining our automated tests, performance benchmark framework, and other tools.
- Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment.
Qualifications
- 5+ years of professional experience in a front-office, financial services environment as a senior contributor.
- 10+ years cumulative, professional experience.
- A degree in computer science or a related field.
- Strong background in data structures, algorithms, and object-oriented programming in C++.
- Proficiency with new features of C++17/C++20/C++23.
- Proficiency with multithreading and asynchronous environments.
- Strong understanding of low-latency and real-time system design and implementation.
- Strong understanding of Linux system internals and networking.
- Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures.
- Familiarity with python for quantitative research and data-oriented processing.
- Familiarity with analysis of execution algorithm performance.
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