Quantitative Developer

About the role

MS Capital is seeking a Quantitative Developer to join its technology arm. You will be responsible for building and maintaining the data infrastructure that powers the firm’s AI‑driven trading strategies, ensuring high‑quality market data is available to quants and traders.

Key responsibilities

• Ingest, clean, and maintain global equity market data from vendors such as Bloomberg, Refinitiv, FactSet, and exchanges.
• Standardize datasets for quantitative research, factor modelling, and portfolio construction.
• Track and process corporate actions, including ticker changes, mergers, spin‑offs, delistings, and ADR versus local shares.
• Maintain symbol and identifier mappings across exchanges, time zones, and trading systems.
• Collaborate with portfolio managers, 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, investigate breaks, and resolve errors or anomalies.

Required profile

• 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).
• Prior experience in a hedge fund, proprietary trading firm, or asset manager is preferred.
• Exposure to tick or intraday data and buy‑side OMS/EMS systems is a plus.

Required skills

• Python
• Pandas
• NumPy
• SQL
• Bloomberg data services
• Refinitiv data services
• FactSet data services
• Security identifiers (ISIN, CUSIP, SEDOL, RIC, Bloomberg ticker)