Global Equity Data Engineer for AI-Driven Trading

MS Capital Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

MS Capital Singapore seeks a Data Engineer for the Long/Short Equities team to ingest, clean, and align data from global vendors and prime brokers. You will ensure signals, backtests, and live trading rely on high-quality data across the security lifecycle.

Responsibilities include standardizing datasets from Bloomberg, Refinitiv, FactSet and others, mapping tickers, and maintaining data quality. Collaboration with PMs and engineers is essential to success.

Qualifications

• Bachelor's degree or above in Computer Science, Engineering or related field.
• Deep familiarity with global equity markets, including North America, Europe, and Asia-Pacific exchanges.
• Proficient in Python (Pandas, NumPy), SQL, and data pipeline orchestration tools (Airflow, Luigi).
• Knowledge of major data vendors and experience working with financial reference and pricing data.
• Strong understanding of market microstructure and security identifiers (ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker).
• Ability to navigate prime brokerage data and internal ticker mapping for order execution and post-trade reconciliation.
• Experience in a data engineering or quantitative data operations role at a hedge fund, proprietary trading firm, or asset manager.
• Prior experience working with tick- or bar-level data, especially for intraday equity strategies.
• Familiarity with buy-side OMS/EMS systems and order flow handling.

Responsibilities

• Ingest, standardize, and maintain global equity datasets from multiple third-party vendors.
• Structure data to support quantitative research, factor modeling, and portfolio construction.
• Develop systems to track corporate actions including ticker changes, delistings, mergers, spin-offs.
• Collaborate with PMs, quantitative researchers, and trading infrastructure engineers to define data needs.
• Understand prime brokers’ ticker conventions and map data across venues, custodians, and OMS/EMS.
• Ensure data quality through validation, monitoring pipelines, and anomaly detection.

Skills

Global equity markets knowledge

Python (Pandas, NumPy)

SQL

Airflow

Luigi

Data vendors knowledge

Market microstructure understanding

Security identifiers (ISIN, CUSIP, SED

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Airflow

Luigi

Job description

MS Capital Singapore seeks a Data Engineer for the Long/Short Equities team to ingest, clean, and align data from global vendors and prime brokers. You will ensure signals, backtests, and live trading rely on high-quality data across the security lifecycle.

Responsibilities include standardizing datasets from Bloomberg, Refinitiv, FactSet and others, mapping tickers, and maintaining data quality. Collaboration with PMs and engineers is essential to success.