Quant Developer - Equities Technology

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 works directly with the firm’s central trading teams.  By constructing and maintaining this high-performance infrastructure used by these teams, this developer will enable new trading opportunities across businesses and regions, allowing the best possible execution performance.

Job Duties

• Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.

• Work directly with central trading teams to optimize the firm’s overall execution performance.

• 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++, including:

  • Proficiency with new features of C++17 and C++20

  • 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