Qube RT (QRT) · Hedge fund · London · Mid-level · Posted 2026-05-08
Apply now →Applications go to Qube RT (QRT)'s own site.
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 allows us to solve the most complex challenges. QRT’s culture of innovation continuously establishes our ambition to deliver high quality returns.
Your future role
Your core objective will be to collaborate with Researchers and Analysts to onboard new data sources and deploy them through a centralized framework.
Design and maintain datasets used for signal generation in trading strategies.
Develop robust data quality checks and monitoring frameworks.
Integrate alternative datasets and build tools to automate data pipelines for faster, more reliable on boarding.
Provide technical support to end users, including quant researchers and traders.
Your present skills:
2+ years of hands-on experience in data engineering.
Excellent communication skills and a collaborative mindset.
Strong software engineering fundamentals and proficiency in Python.
Experience with workflow orchestration frameworks (e.g. Argo, Airflow).
Experience designing and implementing RESTful APIs and internal service integrations.
Experience with observability tools (e.g. Grafana, CloudWatch).
Familiarity with Kubernetes, Microservices, AWS and container orchestration.
Exposure to frontend technologies involving custom monitoring dashboards is a plus.
Self-starter mentality and ability to work autonomously.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. We also provide a healthy work-life balance.