Software Engineers

New York

Development - Back End

Permanent

Our client, a leading financial services company, are hiring a C++ Quantitative Research Engineer to join the team in New York City. The successful candidate will collaborate with quantitative researchers, engineers and traders to build high-performance applications, research platforms and trading systems that uncover and capture opportunities across global financial markets.

Responsibilities

Develop and maintain high-performance applications using modern C++.
Engineer low-latency systems capable of processing and normalising large volumes of market data.
Integrate data feeds across global exchanges, vendors and multiple asset classes.
Design and optimise high-frequency trading and execution platforms.
Create scalable analytics libraries for quantitative research and real-time forecasting.
Develop research tools using advanced statistical and machine learning technologies.
Translate quantitative models into reliable, production-ready systems.
Enhance the speed, resilience and accuracy of critical live-market platforms.
Build and monitor distributed systems and complex data-processing pipelines.
Partner with quantitative researchers, traders and engineers to deliver commercially valuable solutions.

Skillset

Bachelor’s, master’s degree or PhD in Computer Science, Computer Engineering, Mathematics, Physics or similar.
Extensive software engineering experience, including the development of production-grade systems using C++.
Strong knowledge of modern C++, low-latency engineering and performance optimisation.
Experience creating reliable, maintainable and high-performance software for business-critical environments.
A thorough understanding of distributed systems, scalable architecture and complex data-processing pipelines.
Ability to assess interconnected systems from first principles and deliver effective improvements.
Experience enhancing established production platforms and designing new systems from the ground up.
A rigorous approach to software correctness, system resilience, monitoring and fail-safe engineering.