Team Lead - Quant Development

We are in search of an experienced Quantitative Developer in a team‑lead capacity. This role requires technical and managerial skills with an emphasis on hands‑on work. This leader would set technical direction and provide guidance to a small team of Quantitative Developers. The ideal candidate is passionate about designing, architecting, and implementing low‑latency C++ systems that are robust, resilient, accurate, and exceptionally fast.

Our team works directly with the firm’s central trading teams, and by leading the construction and maintenance of this high‑performance infrastructure, this Team Lead will enable new trading opportunities across businesses and regions, ensuring the best possible execution performance.

• Lead, mentor, and manage a team of quantitative developers, fostering a collaborative and high‑performance culture.
• 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 automated tests, a performance benchmark framework, and other tools.
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast‑paced environment.

• Bachelor’s degree or higher in Computer Science, Engineering, or a related quantitative field.
• 12+ years of cumulative professional experience in software development.
• 7+ years of professional experience in a front‑office, financial services environment, with a proven track record as a senior contributor or technical lead.
• 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.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology
• Investment Management