Equity Data Engineer – Trading Signals & Research

MS Capital Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

MS Capital Singapore is seeking a Data Engineer for the Long/Short Equities team to ingest, clean, and align data from global vendors and prime brokers, ensuring signals and live trading systems run on high-quality data. You will design data pipelines, map tickers, handle corporate actions, and collaborate with PMs and researchers to support factor modeling and portfolio construction.

Proficiency in Python (Pandas, NumPy), SQL, and Airflow or Luigi is required; experience with buy-side OMS/EMS

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• Deep familiarity with global equity markets (NA/EU/APAC).
• Proficient in Python (Pandas, NumPy), SQL, and data pipelines (Airflow/Luigi).
• Knowledge of major data vendors and financial reference data.
• Strong understanding of market microstructure and security identifiers.
• Navigate prime brokerage data and internal ticker mapping.
• Experience in data engineering or quantitative data operations at hedge/fund/asset manager.
• Experience with tick- or bar-level data for intraday strategies.
• Familiarity with buy-side OMS/EMS systems and order flow handling.

Responsibilities

• Ingest, standardize, and maintain global equity datasets from multiple vendors.
• Structure data to support research, factor modeling, and portfolio construction.
• Develop systems to track corporate actions (ticker changes, delistings, mergers, etc.).
• Collaborate with PMs, researchers, and trading infra engineers to meet data needs.
• Map prime broker tickers across venues, custodians, and OMS/EMS systems.
• Ensure data quality via validation, monitoring pipelines, and anomaly detection.
• Maintain symbol mapping libraries across time zones, exchanges, and asset classes.

Skills

Python

SQL

Pandas

NumPy

Education

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

Tools

Airflow

Luigi

Job description

MS Capital Singapore is seeking a Data Engineer for the Long/Short Equities team to ingest, clean, and align data from global vendors and prime brokers, ensuring signals and live trading systems run on high-quality data. You will design data pipelines, map tickers, handle corporate actions, and collaborate with PMs and researchers to support factor modeling and portfolio construction.

Proficiency in Python (Pandas, NumPy), SQL, and Airflow or Luigi is required; experience with buy-side OMS/EMS