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
- Develop quant tools for trading and research in collaboration with quant researchers and data engineering teams (e.g., building ETL pipelines to integrate and test alternative datasets for the commodities desk).
- Develop machine learning/statistical models for commodity systematic trading.
- Conduct data exploration and strategy backtesting.
- Monitor, support, debug, and extend existing commodities trading and research infrastructure with researchers and support engineers.
- Architect, develop, deploy, and manage cloud-native applications in collaboration with the AWS infrastructure team (e.g., systems for storing and exploring alternative datasets, risk reports, and PnL).
Your Present Skillset
- Minimum 5 years of experience in front office quant development.
- Proficiency in Python, particularly using numerical libraries such as NumPy, pandas, and matplotlib.
- Strong quantitative mindset and financial acumen.
- Solid knowledge of AWS (or a similar cloud platform) and infrastructure-as-code (IaC).
- Proficiency in databases (e.g., SQL).
- Familiarity with development practices including version control with Git, unit testing, and packaging.
- Team player with a collaborative attitude.
Nice to Have
- Previous experience in commodities trading, especially energy related
- Modeling and backtesting experience.
- In-depth AWS experience (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
- Advanced database knowledge (e.g., query optimization, understanding relational vs non-relational databases).
- Experience with parallel computation and distributed computing.
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.
