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
- Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT
- Contributing into software and infrastructure design and implementation in AWS cloud environment
- Developing data pipelines in Python using data libraries and cloud SDKs
- Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access
- Optimizing performance of the data lake as well as OLAP databases in cross-region environment
- Ensuring data completeness and quality across critical pipelines
- Build and support tailored data solutions for Quants and Traders
Your present skillset
5+ year of experience and proven track record of building data platforms
Python and SQL mastery are essential, C++ is a big plus
Appetite to contribute into cloud infrastructure
Ability to build a structured approach to problem-solving
Independent and autonomous while still a strong team player
Intellectual curiosity to learn rapidly
Finance experience is highly desirable
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.
Job description provided by Qube Research & Technologies.
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