Senior Software Engineer - Quant Research Framework

2 мес. назад

Hong KongSingaporeWorldwideSenior

pythonc++

Experienced software engineer to build and maintain a framework for quantitative research to support research, testing, and production workflows.

Будет плюсом

Experience in quantitative finance, trading, research platforms, or data-driven systems
Familiarity with backtesting, simulation, distributed computing, or production monitoring tools
 
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Другое

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an experienced software engineer to help build, maintain, and support a framework used by quantitative researchers for research, testing, and production workflows in a fast-paced environment.
Develop and maintain core framework components, tools, APIs, and documentation
Work closely with quant researchers day to day, helping them use the framework effectively and solving technical issues
Translate researcher feedback into framework improvements
Support production environment setup, dependency management, release processes, and deployments
Work with infrastructure and production teams to troubleshoot deployment and runtime issues
Follow up on production usage through monitoring, debugging, performance analysis, and optimization
Strong software engineering experience, ideally in Python and C++
Experience building frameworks, libraries, tooling, or production systems
Good knowledge of Linux, debugging, testing, CI/CD, and deployment practices
Ability to analyze performance issues and production behaviour
Strong communication skills and comfort working directly with quantitative researchers in a fast-paced environment