AI-Driven Quantitative Developer for Trading Systems

MS Capital Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

MS Capital, Singapore-based private fund management company, seeks a data/quant tech specialist for its technology arm focusing on AI/ML-driven trading data. You will ingest and standardize global equity data, maintain tickers and identifiers, and collaborate with PMs and quants to support reliable research and trading.

The role emphasizes strong Python/SQL skills and familiarity with major data vendors. Qualification in CS/engineering and finance experience is valued.

Qualifications

• Degree in computer science, engineering or related field.
• Experience with global equity markets (US, Europe, APAC).
• Strong Python (Pandas, NumPy) and SQL skills.
• Familiarity with financial data vendors and equity reference/pricing data.
• Understanding of security identifiers (ISIN, CUSIP, SEDOL, RIC, Bloomberg ticker).
• Experience in hedge funds, prop trading firms, or asset managers preferred.
• Exposure to tick or intraday data and buy-side OMS/EMS systems is a plus.

Responsibilities

• Ingest, clean, and maintain global equity market data from vendors (Bloomberg, Refinitiv, FactSet, exchanges).
• Standardize datasets for quantitative research, factor models, and portfolio construction.
• Track and process corporate actions (ticker changes, mergers, spin-offs, delistings).
• Maintain symbol and identifier mappings across exchanges and systems.
• Collaborate with PMs, quants, and trading teams to deliver reliable data for research and trading.
• Map prime broker and OMS/EMS tickers for execution and post-trade reconciliation.
• Monitor data quality and resolve data breaks, errors, and anomalies.

Skills

Python (Pandas, NumPy)

SQL

Financial data analysis

Equity markets knowledge

Security identifiers (ISIN/CUSIP/SEDOL

Education

Degree in Computer Science or Engineering or related field

Tools

Bloomberg

Refinitiv

FactSet

Job description

MS Capital, Singapore-based private fund management company, seeks a data/quant tech specialist for its technology arm focusing on AI/ML-driven trading data. You will ingest and standardize global equity data, maintain tickers and identifiers, and collaborate with PMs and quants to support reliable research and trading.

The role emphasizes strong Python/SQL skills and familiarity with major data vendors. Qualification in CS/engineering and finance experience is valued.