AI-Driven Quant Developer for Market Data & Trading

MS Capital Singapore; Singapore; On-site; SGD 90,000 - 170,000; Full time

Job summary

MS Capital Singapore is seeking a data/quantitative-focused professional to join its technology arm. You will ingest and clean global equity data from major providers and standardize datasets for quantitative research and portfolio construction.

You will work with PMs, quants, and trading teams to ensure reliable data for research and trading, including symbol mappings and ticker reconciliation across venues.

Qualifications

• Degree in Computer Science, Engineering, or a 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 a hedge fund, prop trading firm, or asset manager is preferred.

Responsibilities

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

Skills

Python

Pandas

NumPy

SQL

Global equity markets

ISIN/CUSIP/SEDOL/RIC

Education

Degree in Computer Science/Engineering or related field

Job description

MS Capital Singapore is seeking a data/quantitative-focused professional to join its technology arm. You will ingest and clean global equity data from major providers and standardize datasets for quantitative research and portfolio construction.

You will work with PMs, quants, and trading teams to ensure reliable data for research and trading, including symbol mappings and ticker reconciliation across venues.