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.
Qube Research & Technologies London, England Office
160 Victoria Street, London, United Kingdom, SW1E 5LB
