Quantitative Developer - Commodities > France > Joboolo FR :
Société : Selby Jennings Lieu : France
I am working on a role with a global quantitative and systematic hedge fund who are looking for a QuantitativeDeveloper to join their team in Paris to work closely with trading and research functions.
Key Responsibilities:
Developing ETL pipelines to seamlessly integrate and rigorously test extensive alternative datasets for the Commodities desk, collaborating closely with quant researchers and data engineering teams.
Architecting, deploying, and overseeing cloud-based systems tailored for storing and exploring large-scale alternative datasets, in partnership with the AWS infrastructure team.
Monitoring, supporting, debugging, and enhancing existing Commodities trading and research infrastructure, working hand-in-hand with Researchers and Support Engineers.
Ideal Candidate:
Proficient in Python, with a focus on leveraging numerical libraries like numpy, pandas, and matplotlib.
Possessing foundational knowledge of AWS and databases, including SQL.
Adhering to development best practices such as version control with Git and unit testing.
Approaching challenges with a quantitative mindset and fostering a collaborative team spirit.
Nice to have:
Experience in creating dashboards or utilizing data visualization software like Tableau or Dash.
Advanced proficiency in AWS services such as DynamoDB, RDS, S3, Lambda, and AWS CDK.
In-depth understanding of database concepts, including query optimization and relational versus non-relational databases.
Familiarity with parallel computation techniques.
Exposure to handling geographic data using tools like geopandas and xarray.
While not mandatory, possessing financial knowledge is considered advantageous.
