Quantitative Developer (Python)

Selby Jennings
Zurich, Switzerland
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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.

Nice to have

  • Experience in creating dashboards or using data visualisation software (e.g., Tableau, Dash).
  • In-depth experience with cloud services (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
  • Advanced database knowledge (query optimisation, 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.

This role can be based in either Zürich or Geneva

Il y a 3 jours
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