Quantitative Developer - Python
Join to apply for the Quantitative Developer - Python role at Qube Research & Technologies
Join to apply for the Quantitative Developer - Python role at Qube Research & Technologies
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.
Your future role within QRT:
As a Quantitative Developer, you'll work in a close-knit global team of Multi-Asset Quant Developers and Researchers. Working directly with Researchers and Portfolio Managers, you'll enhance our research platform to meet the needs of a constantly evolving environment. You will have a large impact on the success of the team by recommending innovative software solutions - solving problems by building new tools and systems.
Responsibilities
- Automate and streamline data preparation and cleaning
- Build and support new quantitative trading framework
- Industrialize trading strategies developed by quant researchers
- Drive "best practice" amongst the researchers and portfolio managers
- Continually expand and upgrade the team’s software platform to accommodate the changing business needs
- 3-8 years of experience as a software engineer
- Python language experience is a must
- Ability to multitask, set project priorities and work in a team
- Strong communication skills is a must
- Ability to work in a fast-paced environment
- Very high standards in code quality and good development practices
- Experience in finance and/or machine learning would be 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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
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