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Financial instrument reference data pipeline — 4M+ instruments, Bloomberg Data License, Python | JPMorgan GIM golden source system

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Financial Instrument Reference Data Pipeline

JPMorgan Chase & Co | Oct 2016 – Jul 2018

Overview

Designed and operated a financial instrument reference data pipeline ingesting and standardising 4M+ instruments into the JPMorgan Global Instrument Master (GIM) system — the golden source for all downstream client systems.

Pipeline Architecture

Bloomberg Data License (BDL)
    ↓  Daily file delivery (SFTP)
File Ingestion Layer
    ↓  Validation: completeness · format · referential integrity
Standardisation (Python scripts)
    ↓  Normalise ISIN · LEI · ticker · CUSIP · SEDOL
Global Instrument Master (GIM)
    ↓  Golden source — 4M+ instruments
Downstream Client Systems
    (Middle Office · Trade Support · Settlements)

Data Processed

Data Type Source Volume
Equity instruments Bloomberg · Refinitiv 2M+
Fixed income Bloomberg 1M+
Derivatives Internal · Bloomberg 500K+
FX instruments Internal 200K+

Reference Data Identifiers Managed

  • ISIN — International Securities Identification Number
  • LEI — Legal Entity Identifier
  • CUSIP — Committee on Uniform Securities Identification Procedures
  • SEDOL — Stock Exchange Daily Official List
  • Bloomberg ticker — proprietary identifier
  • Exchange codes — MIC (Market Identifier Code)

Corporate Actions Processed

Stock splits · Dividends · When Issued · Listings · Delistings Ticker symbol changes · Reverse splits · ID number changes · Name changes

Data Quality

  • 99% data integrity achieved for client golden source systems
  • Daily Quality Alerts across market sessions
  • Cross-validation against internal client-initiated changes
  • Reconciliation against Middle Office, Trade Support, Settlements

Technology Stack

Python · SQL · Bloomberg Data License · SFTP · ISIN · LEI · Reference Data Management

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Financial instrument reference data pipeline — 4M+ instruments, Bloomberg Data License, Python | JPMorgan GIM golden source system

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