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
- Your core objective is to build and manage multiple datasets used extensively in the QRT research and trading platform
- Building automated ETL pipelines to onboard datasets faster
- Contributing to design and implementing the QRT data framework
- Monitoring fetching processes and data health
- Integrating alternative datasets
- Building data quality checks to ensure good quality and coverage
- Supporting users (Quants & Traders)
Your present skillset
- 2+ years’ experience in a related field
- Advanced English, both written and verbal communication skills
- Polyglot developer, knowledge of Python is important
- Knowledge of AWS technologies
- Knowledge of datalakes/ databases is a plus.
- Experience with Git
- Ability to communicate and understand user needs
- Structured and unstructured data management expertise is a plus
- Knowledge of the financial data of equity/derivatives is a plus
- Intellectual curiosity to learn new technologies
- Capacity to work with autonomy within a global team
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.
Top Skills
Qube Research & Technologies London, England Office
160 Victoria Street, London, United Kingdom, SW1E 5LB
