Software Engineers

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

Benefits offered by this job

Performance bonus

Job summary

Alldus International Consulting Ltd. is seeking a C++ Quantitative Research Engineer to join our client’s team in New York City.

You will work with researchers, engineers and traders to build high-performance applications and trading systems that uncover opportunities across global markets. Responsibilities include developing low-latency systems, integrating feeds from exchanges, and designing scalable analytics libraries for real-time forecasting.

Qualifications

• Degree in Computer Science, Computer Engineering, Mathematics, Physics or similar.
• Extensive software engineering experience building production-grade systems with C++.
• Strong knowledge of modern C++, low-latency engineering and performance optimisation.
• Experience delivering reliable, maintainable software for business-critical environments.
• Understanding of distributed systems, scalable architectures and data-processing pipelines.

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 speed, resilience and accuracy of live-market platforms.
• Build and monitor distributed systems and complex data-processing pipelines.
• Partner with researchers, traders and engineers to deliver commercially valuable solutions.

Skills

C++ Development

Low-latency Systems

Distributed Systems

Data Processing

High-performance Software

Performance Optimisation

ML for Finance

Production-grade Software

Education

Bachelor's/Master's/PhD in STEM

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.