Data Engineer

About the Company:

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.

Your future role within QRT

In this team, you will be responsible for making latency data accessible to end users by utilizing advanced Python frameworks such as Dash or Streamlit and leveraging AI/ML tools like the OpenAI API. You will work with large datasets, creating real-time insights and visualizations to improve systems for researchers, support teams, and other internal users . Additionally, you will play a key role in enhancing the Latency Data API and ensuring seamless data access across the organization.

Responsibilities

• Use Python web frameworks such as Dash or Streamlit to make latency data accessible to end users.
• Leverage OpenAI API to analyse and generate insights by using latency data and provide visualization interface to end users.
• Improve the Latency Data API to provide seamless access to latency data for end users, including researchers, support, and other teams within QRT.
• Optimize and fine-tune Large Language Models (LLMs) for use cases in natural language understanding, data processing, and predictive modelling.

Your present skillset

• Advanced proficiency in Python and experience with frameworks like Dash or Streamlit.
• Expertise with the OpenAI API and AI/ML technologies for data analysis and insight generation.
• Strong experience working with large datasets, creating data visualizations, and generating reports.
• High standards in code quality, software development practices, and managing structured/unstructured data.
• Expertise in building and managing scalable data systems.
• Proven skills in AI/ML, particularly in pattern and anomaly detection.
• Experience with CI/CD pipelines and DevOps processes.
• Excellent communication skills and ability to collaborate across teams.

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.