Data Engineer (Financial Data / West)

[Job ID: 1643908]

Responsibilities

• Ingest, standardize, and maintain global equity datasets from multiple third-party data vendors.
• Structure and align datasets to support quantitative research, factor modeling, and portfolio construction.
• Develop and maintain systems to manage corporate actions such as ticker changes, mergers, spin-offs, and listings.
• Collaborate with portfolio managers, quantitative researchers, and engineers to define and deliver data requirements.
• Manage ticker mapping across prime brokers, trading venues, custodians, and OMS/EMS platforms.
• Ensure data integrity through validation processes, monitoring pipelines, and anomaly detection.
• Maintain and enhance symbol mapping libraries across exchanges, asset classes, and time zones.

Requirements

• Bachelor’s degree or above in Computer Science, Engineering, or a related field.
• Proficiency in Python (e.g., Pandas, NumPy) and SQL.
• Experience with data pipeline orchestration tools such as Airflow or Luigi.
• Familiarity with financial data vendors and handling reference and pricing datasets.
• Strong knowledge of global equity markets across North America, Europe, and Asia-Pacific.
• Solid understanding of market microstructure and security identifiers (e.g., ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker).
• Background in data engineering or quantitative data operations within financial institutions is advantageous.

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EA Personnel Name: Felicia Chiam Kar Min

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