Your future role within the firm

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

Your current skillset

Proficiency in Python, particularly numerical libraries such as numpy, pandas, matplotlib, etc.
Basic understanding of cloud services.
Basic knowledge of databases (e.g., SQL).
Familiarity with development practices - version control with Git, unit testing, etc.
A quantitative mindset.
Team player with a collaborative attitude.

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

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