LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
or continue with e-mail and password
Forgot password?
Don't have an account?
Join Canary Wharfian
or continue with e-mail and password
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Quantitative Developer - Python

ExperiencedNo visa sponsorship
Qube logo

at Qube

Proprietary Trading

Posted 15 days ago

No clicks

**Quantitative Developer - Python** empowers your software engineering skills to drive quantitative investment strategies. Key responsibilities include automating data workflows, building and maintaining quantitative frameworks, and productionizing trading strategies. You'll collaborate with researchers and portfolio managers, enhancing research workflows and developing bespoke tools. A **Python development background** and **2+ years of professional software engineering experience** are required. High code quality standards, strong communication, and adaptability in a fast-paced environment are crucial. Familiarity with financial markets or machine learning is beneficial. Join QRT and contribute to their collaborative, data-driven culture.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

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 QRTs collaborative mindset which enables us to solve the most complex challenges. QRTs culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will work closely with Quantitative Researchers and Portfolio Managers to develop and enhance the research platform supporting quantitative investment strategies. The role combines software engineering with direct interaction with research users, with a focus on improving research workflows, developing quantitative tooling and bringing trading strategies into production.

Your future role within QRT

  • Automate and streamline data preparation and cleaning workflows
  • Build and maintain quantitative research and trading frameworks
  • Productionise trading strategies developed by Quantitative Researchers
  • Develop tools and systems that address evolving research and investment requirements
  • Establish and promote software engineering practices across research workflows
  • Extend and improve the software platform as business and research requirements evolve

Your present skillset

  • 2 or more years of professional software engineering experience
  • Strong Python development experience
  • High standards for code quality, testing and software development practices
  • Ability to manage multiple priorities and work effectively in a collaborative environment
  • Strong communication skills and the ability to work directly with Quantitative Researchers and Portfolio Managers
  • Ability to operate effectively in a fast paced environment
  • Experience in financial markets or machine learning is beneficial

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.

Quantitative Developer - Python

Compensation

Not specified

City: Not specified

Country: Not specified

Qube logo
Proprietary Trading

15 days ago

No clicks

at Qube

ExperiencedNo visa sponsorship

**Quantitative Developer - Python** empowers your software engineering skills to drive quantitative investment strategies. Key responsibilities include automating data workflows, building and maintaining quantitative frameworks, and productionizing trading strategies. You'll collaborate with researchers and portfolio managers, enhancing research workflows and developing bespoke tools. A **Python development background** and **2+ years of professional software engineering experience** are required. High code quality standards, strong communication, and adaptability in a fast-paced environment are crucial. Familiarity with financial markets or machine learning is beneficial. Join QRT and contribute to their collaborative, data-driven culture.

Full Job Description

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 QRTs collaborative mindset which enables us to solve the most complex challenges. QRTs culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will work closely with Quantitative Researchers and Portfolio Managers to develop and enhance the research platform supporting quantitative investment strategies. The role combines software engineering with direct interaction with research users, with a focus on improving research workflows, developing quantitative tooling and bringing trading strategies into production.

Your future role within QRT

  • Automate and streamline data preparation and cleaning workflows
  • Build and maintain quantitative research and trading frameworks
  • Productionise trading strategies developed by Quantitative Researchers
  • Develop tools and systems that address evolving research and investment requirements
  • Establish and promote software engineering practices across research workflows
  • Extend and improve the software platform as business and research requirements evolve

Your present skillset

  • 2 or more years of professional software engineering experience
  • Strong Python development experience
  • High standards for code quality, testing and software development practices
  • Ability to manage multiple priorities and work effectively in a collaborative environment
  • Strong communication skills and the ability to work directly with Quantitative Researchers and Portfolio Managers
  • Ability to operate effectively in a fast paced environment
  • Experience in financial markets or machine learning is beneficial

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.