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Equity Data Analyst - AI Platform
Data Analyst
Analyze and transform equity data for an AI-driven platform, building factor models, validating data pipelines, and extracting earnings insights using Python, SQL, and machine‑learning techniques.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines that extract, clean, and validate equity and earnings data for AI model consumption.
- Construct and back‑test factor models to support quantitative research and investment strategies.
- Collaborate with data engineers and data scientists to ensure data quality, consistency, and alignment with platform requirements.
- Perform earnings analysis, integrating corporate financial releases into structured datasets.
- Automate data quality checks and monitoring, troubleshooting anomalies and improving data reliability.
Requirements
- Strong proficiency in Python and SQL for data manipulation, ETL, and analysis.
- Experience building and validating factor models or quantitative finance tools.
- Hands‑on experience with data validation frameworks and automated testing of data pipelines.
- Familiarity with machine‑learning concepts and applying them to financial datasets.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlmachine learning