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Qube Research & Technologies

Quantitative Developer - Execution Analytics

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Paris

10h ago
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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 our 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 seeking a skilled Python Quant Developer to focus on reporting and trading analytics. The role involves developing and maintaining data transformation pipelines, ensuring accuracy, scalability, and performance. You will also contribute to the development and optimization of the trading system, working closely with traders and researchers to deliver high-quality solutions that meet business needs.
 
Your future role within QRT
  • 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, with a strong emphasis on data analysis and performance evaluation
  • Working with traders and quants to roll out, support, and optimize strategies, leveraging advanced data analytics to refine performance
  • Building and supporting new quantitative trading framework software, with a focus on robust data pipelines and analyticsDesigning clean architecture and leveraging state-of-the-art tools and components to enable efficient data processing and insights generation
  • Bringing new ideas, experimenting with new technologies, and applying innovative data analysis methodologies
Your present skillset
  • 3+ years of experience in Python3, with demonstrated proficiency in data analysis libraries such as Pandas, NumPy, and data visualization tools like Matplotlib or Seaborn
  • Strong knowledge of financial data, including data structures, market trends, and real-time analytics, with experience in a trading environment being highly advantageous
  • Proven ability to work with large, complex codebases in trading systems or similar environments
  • Proficiency with containerization systems (Docker), Terraform, and cloud platforms (AWS / Microsoft Azure / Google Cloud), enabling efficient deployment, infrastructure management, and scalable data processing pipelines
  • Proficient in Linux systems (Bash / Zsh) to manage data workflows and automate tasks
  • Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, code reviews, and writing clean, maintainable, and well-documented code
  • Experience in Web UI is a plus (React / VueJS / TypeScript), especially if involved in building interactive data dashboards
  • Bachelor’s degree in Computer Science, Engineering, Finance, or a related field

 

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.

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