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Python Developer - Commodities

Selby Jennings Paris, France Last day to apply
Posted 1 month ago Hybrid Job Permanent Negotiable

I am working on a role with a global quantitative and systematic hedge fund who are looking for a Quantitative Developer to join their team in Paris.

Key Responsibilities

  • 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.
job_description_image
Job ID  PR/490767
ABOUT COMPANY
New York, United States
500 Employees HR & Recruitment
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business. Whether that be Quantitative Analyti...
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