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 with researchers and quant developers to deliver insights from tick-by-tick data
- Serve high-quality data to the backtesting engine
- Develop Tick Data pipelines in Python to enable fast and seamless access across all asset classes
- Design, implement, and monitor data quality checks across all pipelines
Your present skillset:
- Strong knowledge of different financial asset classes
- Deep understanding of Level 2 and Level 3 tick-by-tick data
- Solid knowledge of the market structure ecosystem (e.g., NBBO rules, secondary markets, dark pools)
- Familiarity with exchange protocols and their specificities is a strong plus
- Strong Python skills with experience in data libraries required; C++ is a strong plus
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
