Data Quant Developer (m/f)

Zürich, Switzerland

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\\nThe successful candidate will:

Develop ETL pipelines to integrate and test very large alternative datasets
Architect, deploy, and manage cloud-based systems for storing and exploring very large datasets
Monitor, support, debug, and extend existing trading and research infrastructure

Required Skills and Experience:

Proficiency in Python, particularly with numerical libraries such as numpy, pandas, and matplotlib.
Basic knowledge of AWS.
Basic knowledge of databases (e.g., SQL).
Familiarity with development practices such as version control with Git and unit testing.
A quantitative mindset.
Strong team player with a 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 optimization, relational vs non-relational databases, etc.).
Experience with parallel computation.
Experience with geographic data using geopandas and xarray.
Financial knowledge is a plus but not required.

Why Join?

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