
Data Architect
1 day ago
We are seeking a highly skilled and detail-oriented Data Architect to play a pivotal role in designing robust data processes for financial datasets.
The successful candidate will be responsible for building and maintaining data ingestion pipelines, ensuring data quality, and enabling seamless access for quantitative research and trading teams.
- Develop, maintain, and optimize Python scripts and libraries for automated data ingestion from market data providers and internal sources.
- Design and deploy automated validation checks to detect anomalies, gaps, and inconsistencies in incoming data feeds.
- Collaborate with quants to establish data accuracy benchmarks and troubleshoot data discrepancies.
- Source and evaluate new external data vendors and offerings (e.g., factor models, fundamental and sentiment data).
- Monitor and ensure timely ingestion of data from all subscribed providers.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 12 years of professional experience in data engineering, data analyst, software development or a Python focused role.
- Strong proficiency in Python scripting, including building functions, modules, and lightweight APIs.
- Experience with numpy and pandas packages.
- Familiarity with version control (Git) and collaborative development workflows.
- Basic understanding of financial market data (e.g., equities, derivatives) and the challenges of time series data.
Long-term Strategy: Stay updated on industry trends in financial data and Python tooling to drive continuous enhancement of our data stack.
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3 days ago
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