Quantitative Trading Systems Engineer

QUBE RESEARCH & TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Qube Research & Technologies Singapore invites a technically adept developer to join the team as a key contributor. You will build and enhance core components across electronic and algorithmic trading, backtesting, and data management systems while collaborating with traders and quants to roll out strategies.

You will work with modern tools, emphasize clean architecture, and explore new technologies. A strong Python background and a passion for high-quality code are essential for success.

Qualifications

• 1-9 years' professional experience.
• Advanced skills in one or several programming languages.
• Strong Python skills.
• Very high standards in code quality and good development practices.
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage.
• Strong team-player.
• Experience working within a mature CI/CD process, DevOps experience.
• Strong communication skills.
• C++ or C# experience would be an asset.

Responsibilities

• A key member of the development team, building and enhancing key components for QRT.
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems.
• Working with traders and quants to roll-out, support and run strategies.
• Building and supporting new quantitative trading framework software.
• Designing clean architecture and leveraging state of the art tools and components.
• Bringing new ideas and experimenting with new technologies.

Skills

Python

C++/C#

DevOps

CI/CD

Real-time systems

Team collaboration

Communication

Tools

CI/CD tools

High performance computing

Job description

Qube Research & Technologies Singapore invites a technically adept developer to join the team as a key contributor. You will build and enhance core components across electronic and algorithmic trading, backtesting, and data management systems while collaborating with traders and quants to roll out strategies.

You will work with modern tools, emphasize clean architecture, and explore new technologies. A strong Python background and a passion for high-quality code are essential for success.