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Software Engineer - Research Platform

at Qube

Back to all Python jobs
Qube logo
Hedge Funds

Software Engineer - Research Platform

at Qube

Mid LevelNo visa sponsorshipPython

Posted 22 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the Research Platform team to design, build and evolve a scalable platform that enables researchers to design, test and deploy complex quantitative strategies. You'll develop user-friendly Python APIs, reusable libraries, and robust distributed systems to support large-scale backtesting, parallel computation and rapid experimentation. The role involves close collaboration with researchers and engineering teams to integrate research workflows with production deployments and maintain high code quality through testing and CI/CD. Familiarity with cloud technologies (AWS) and an interest in Rust are advantageous.

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.

You will join our Research Platform team as an integral member, contributing to the development and evolution of our next-generation research platform which enables researchers to design, test, and deploy highly complex quantitative strategies. Our team collaborates closely with business stakeholders to solve challenging problems that directly impact quantitative research at scale. . This team is central to our business success, supporting distributed computation, large-scale backtesting, and rapid experimentation. Our primary language is Python and we operate in an ecosystem that increasingly utilizes Rust. 

Your future role at QRT:

  • Developing user-friendly APIs for Research use
  • Designing and developing a scalable, robust platform for quantitative research
  • Writing automated tests and maintaining high code quality
  • Integrating Research Workflows with Strategy Deployment and Production
  • Developing reusable libraries and APIs
  • Collaborating with researchers and engineering teams to propose and implement new framework features

Your present skillset:

  • Experience and knowledge in distributed systems and large-scale data processing
  • Proficiency in Python and research-oriented APIs
  • Familiarity with Rust is helpful, but not required
  • Understanding of parallel computation
  • Knowledge of testing within continuous delivery and integration pipelines
  • Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
  • Familiarity with cloud technologies (AWS preferred)
  • Experience in financial data or quantitative development is advantageous but not essential.
  • Fluency in English

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. 

Software Engineer - Research Platform

at Qube

Back to all Python jobs
Qube logo
Hedge Funds

Software Engineer - Research Platform

at Qube

Mid LevelNo visa sponsorshipPython

Posted 22 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join the Research Platform team to design, build and evolve a scalable platform that enables researchers to design, test and deploy complex quantitative strategies. You'll develop user-friendly Python APIs, reusable libraries, and robust distributed systems to support large-scale backtesting, parallel computation and rapid experimentation. The role involves close collaboration with researchers and engineering teams to integrate research workflows with production deployments and maintain high code quality through testing and CI/CD. Familiarity with cloud technologies (AWS) and an interest in Rust are advantageous.

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.

You will join our Research Platform team as an integral member, contributing to the development and evolution of our next-generation research platform which enables researchers to design, test, and deploy highly complex quantitative strategies. Our team collaborates closely with business stakeholders to solve challenging problems that directly impact quantitative research at scale. . This team is central to our business success, supporting distributed computation, large-scale backtesting, and rapid experimentation. Our primary language is Python and we operate in an ecosystem that increasingly utilizes Rust. 

Your future role at QRT:

  • Developing user-friendly APIs for Research use
  • Designing and developing a scalable, robust platform for quantitative research
  • Writing automated tests and maintaining high code quality
  • Integrating Research Workflows with Strategy Deployment and Production
  • Developing reusable libraries and APIs
  • Collaborating with researchers and engineering teams to propose and implement new framework features

Your present skillset:

  • Experience and knowledge in distributed systems and large-scale data processing
  • Proficiency in Python and research-oriented APIs
  • Familiarity with Rust is helpful, but not required
  • Understanding of parallel computation
  • Knowledge of testing within continuous delivery and integration pipelines
  • Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
  • Familiarity with cloud technologies (AWS preferred)
  • Experience in financial data or quantitative development is advantageous but not essential.
  • Fluency in English

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.