Quantitative Developer - Python

Paris

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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:
  • Research Pipeline Development: Design, develop, and maintain Python and C++ tools that streamline the quantitative research process, including data analysis and signal generation.
  • Production Follow-up Pipeline: Create and manage software solutions to monitor and refine the deployment of trading signals in production, ensuring reliability and performance.
  • Partner with researchers and traders to understand needs and deliver tailored technical solutions.
  • Manage the secure and efficient ingestion and processing of large volumes of data.
  • Implement algorithms and machine learning models, such as linear regression and predictive techniques, to support trading strategies.
  • Leverage HPC and distributed systems to build scalable and high-performance applications.
  • Provide ongoing support, debugging, and optimization of existing tools and systems.
Your present skillset
  • A minimum of 5 years of experience as a software engineer
  • Python language expertise is a must, C++ and .Net experience would be a plus
  • System Architecture Experience
  • Relational Database Experience beneficial
  • Ability to multitask, set project priorities and work in a team
  • Ability to work in a fast-paced environment
  • Excellent communication skills is a must
  • Experience working in a systematic research environment 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.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Data analysis Distributed Systems HPC Machine Learning ML models Python RDBMS Research Trading Strategies

Region: Europe
Country: France

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