- Location
- London · London, Greater London, England, United Kingdom
- Type
- Full-time
- Department
- Trading-TT
- Experience
- 3+ years
- Source
- Greenhouse
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 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:
- Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring.
- Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities.
Your current skillset:
- Strong proficiency in Python, with solid software engineering fundamentals
- Experience building, deploying, and supporting production-grade Python applications
- Ability to prioritize effectively and operate autonomously in a dynamic environment
- Strong collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders
- 3+ years of professional experience in software engineering or a related field
Nice to have
- Previous experience in finance, ideally within a hedge fund or trading environment
- Familiarity with AWS or similar cloud platforms
- Experience building dashboards or working with data visualization tools
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.
Skills
PythonAWS