Quantitative Developer - Commodities

Job Description

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.