Commodities - Quantitative Developer

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 ETL pipelines to integrate and test very large alternative datasets for the Commodities desk in collaboration with quant researchers and data engineering teams.
• Architect, deploy and manage cloud-based systems for storing and exploring very large alternative datasets in collaboration with the AWS infrastructure team.
• Monitor, support, debug and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers.

Your present skillset

• Comfortable in Python, in particular numerical libraries - numpy, pandas, matplotlib, etc. 
• Basic knowledge of AWS.
• Basic knowledge of databases (e.g., SQL).
• Development practices - version control with Git, unit testing, etc.
• A quantitative mindset.
• Team player and collaborative attitude.

Nice to have

• Experience creating dashboards or using data visualisation software (e.g., Tableau, Dash).
• In-depth AWS experience (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
• Advanced database knowledge (query optimisation, relational vs non-relational databases, etc.).
• Parallel computation.
• Experience with geographic data using geopandas, xarray
• Financial knowledge is a plus but not required.

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.