C++ Risk Tech Developer - On-site

Gravitas Recruitment Group Hong Kong; Singapore; Presencial; SGD 96.000 - 166.000; Jornada completa

Descripción de la vacante

Gravitas Recruitment Group Hong Kong seeks a Software Developer to join its Risk Technology team. The role focuses on building high-performance C++ components on Linux for a critical trading risk platform, including trade capture, P/L calculations, and inventory management.

You will work within a global team, optimizing systems for scalability and resilience while contributing to a service-oriented architecture migration and delivering robust risk-management tools across live and historical data

Formación

• Bachelor’s degree required in Engineering, Computer Science or related field.
• Strong knowledge of data structures and algorithms.
• 4+ years of C++ Linux-based development experience.

Responsabilidades

• Develop and maintain high-performance risk system components using C++ on Linux.
• Optimise code for scalability, resilience, and performance in large-scale distributed systems.
• Implement solutions for trade capture, position management, and profit/loss computation.
• Collaborate with global teams to deliver robust risk management tools.
• Contribute to migration towards a service-oriented architecture with a focus on efficiency.
• Communicate effectively with team members and stakeholders to ensure project success.

Conocimientos

C++

Linux

Data structures

Algorithms

Educación

Bachelor’s Degree in Engineering, Computer Science or related subject

Descripción del empleo

Gravitas Recruitment Group Hong Kong seeks a Software Developer to join its Risk Technology team. The role focuses on building high-performance C++ components on Linux for a critical trading risk platform, including trade capture, P/L calculations, and inventory management.

You will work within a global team, optimizing systems for scalability and resilience while contributing to a service-oriented architecture migration and delivering robust risk-management tools across live and historical data