Hybrid Commodities - Senior Quantitative Developer na Qube research and technologies

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

• Architect, develop, deploy and manage cloud-native in collaboration with the AWS infrastructure team, e.g. systems for storing and exploring alternative datasets, risk reports, PnL.
• Develop quant tools for trading and research in collaboration with quant researchers and data engineering teams, e.g. ETL pipelines to integrate and test alternative datasets for the Commodities desk.
• ML/statistical modelling in the context of Agriculture and Metals trading.
• Monitor, support, debug and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers.

Your present skillset

• Minimum 5 years of experience in Python
• Comfortable in Python, in particular numerical libraries - numpy, pandas, matplotlib
• Solid knowledge of AWS or similar cloud platform, and infrastructure-as-code (IaC).
• Solid knowledge of databases (e.g., SQL).
• Experience with developing ETL pipelines (preferably using Airflow)
• Development practices - version control with Git, unit testing, packaging etc.
• A quantitative mindset and financial knowledge.
• Team player and collaborative attitude.

Nice to have

• Experience creating dashboards or using data visualisation software (e.g., Plotly, Streamlit, htmx, 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 and distributed computing.
• Modelling experience is a plus.
• Previous Commodities-related experience is a 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.