
Senior Quantitative Developer
2 weeks ago
Quantitative Developer
Responsibilities:
- Design and deploy robust ETL pipelines for fundamental research and reference data.
- Ensure data lineage, quality, and timelines across critical research/reporting workflows.
- Maintain SQL databases and ingested datasets.
- Build and maintain scalable data infrastructure to automate research tasks/reports, including but not limited to in-house Python packages, web applications, MSSQL functions/stored procedures.
Requirements:
- Strong Python development skills, especially in data engineering or quantitative development contexts, including:
- Market data APIs and web scraping.
- Time series modeling and visualization (pandas, statsmodels, plotly, folium, etc.).
- Building reusable Python models to streamline workflows (SMTP, pyodbc, etc.).
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