Required Skills and Experience:
* Minimum of 5 years of experience in Python, with proficiency in numerical libraries such as numpy, pandas, and matplotlib.
* Strong knowledge of AWS or similar cloud platforms, and infrastructure-as-code (IaC).
* Solid understanding of databases (e.g., SQL).
* Experience in developing ETL pipelines, preferably using Airflow.
* Familiarity with development practices including version control with Git, unit testing, and packaging.
* A quantitative mindset and financial knowledge.
* Team player with a collaborative attitude.
Preferred Qualifications:
* Experience in creating dashboards or using data visualization software (e.g., Plotly, Streamlit, htmx, Dash).
* Advanced AWS experience (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
* In-depth database knowledge, including query optimization and understanding of relational vs non-relational databases.
* Experience with parallel computation and distributed computing.
* Modelling experience is a plus.
* Previous experience in Commodities trading is a plus.
This is an excellent opportunity for a motivated individual to contribute to a leading hedge fund and work on cutting-edge quantitative and trading solutions.