Software Engineers (C++)

Alldus; New York (NY); On-site; USD 275,000 - 350,000; Full time

Benefits offered by this job

Performance bonus

Salary range disclosed

Job summary

Alldus is seeking a C++ Quantitative Research Engineer in New York City to collaborate with researchers, engineers and traders on high-performance applications and trading platforms. The role focuses on building scalable analytics, research tools and production-ready systems for global financial markets.

The candidate will contribute to low-latency data processing, distributed pipelines and cutting-edge technology, delivering commercially valuable solutions in a fast-paced environment.

Qualifications

• Extensive software engineering experience building production-grade systems using C++.
• Strong knowledge of modern C++, low-latency engineering, and performance optimisation.
• Experience delivering reliable, high-performance software for business-critical environments.
• Understanding distributed systems, scalable architecture, and data-processing pipelines.
• Ability to assess interconnected systems from first principles and implement improvements.
• Experience refining production platforms and building new systems from scratch.
• Rigorous approach to software correctness, resilience, monitoring, and fail-safes.

Responsibilities

• Develop and maintain high-performance applications using modern C++.
• Engineer low-latency systems capable of processing large volumes of market data.
• Integrate data feeds across global exchanges and 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 statistics and machine learning.
• Translate quantitative models into production-ready systems.
• Enhance speed, resilience and accuracy of live-market platforms.
• Build and monitor distributed data-processing pipelines.
• Collaborate with researchers, traders and engineers to deliver valuable solutions.

Skills

C++ development

Low-latency engineering

Distributed systems

Performance optimization

Data-processing pipelines

Software reliability

First-principles debugging

Education

Bachelor’s/Master’s/PhD in CS/CE/Math/Physics

Job description

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.

Benefits

• Salary: $275k - $350k

• Performance bonus.