About the role
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 responsibilities will include:
Your core objective is to manage the multiple and extensive datasets used in the QRT research and trading platform
Contributing to design and implementing QRT data store and its API
Monitoring fetching processes and data health
Integrating alternative datasets
Supporting users (Quants & Traders)
Your present skillset:
2+ years' experience in a related field
Strong understanding and experience with Python
Familiarity with SQL and relational databases.
Ability to communicate and understand user needs
Intellectual curiosity to learn new technologies
Capacity to work with autonomy within a global team
Good-to-have:
Structured and unstructured data management expertise
Knowledge of the financial data of equity/derivatives
Prior financial data vendors experience
Experience with market data
Intellectual curiosity to learn new technologies
Capacity to work with autonomy within a global team
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.
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