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Quantitative Developer – Commodities

Systematic Quant Fund


Posted 1 Mth Ago

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

The role:

  • 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.


  • 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 visualization 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.