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Data Modeler for Trade Management

Req #: 180021503
Location: Jersey City, NJ, US
Job Category: Technology
Potential Referral Amount: 5000 US Dollar (USD)

UTM (Unified Trade and Transaction Model) is the logical representation of data required to support JPMorgan’s Trade and Transaction Event Management business capability. The primary intent is to standardize the data representation of trades and transactions across the firm, focusing on all Corporate and Investment Bank asset classes. The adoption of canonical models is foundational to a number of strategic transformation programs within the bank. UTM is to be used to develop interface definitions across applications.


Working alongside our business analysts, line of business teams, and producer/consumer communities, define across the range of Corporate and Investment Bank products:

  • The entities and attributes necessary to provide a business definition of each product
  • How a trade will be represented at each stage in its lifecycle
  • Ensure that the same concept is modelled in the same way across the Corporate and Investment Bank and prevent unnecessary divergence
  • Ensure the model is grounded in the reality of business products and how they are processed
  • Translate requirements into logical data models working closely with Subject Matter Experts and Applications Development representatives
  • Define the modelling solution and capture the model in modelling tool
  • Ensure consistency and governance across model estate including alignment with all other domain models and taxonomies
  • Review data samples to understand the data in question
  • Produce clean and concise documentation for existing model and sample messages throughout 
  • Integrate with solutions for Data Lineage, Security, etc.
  • Strong background in business data modelling preferably in Trade Management in wholesale banking
  • Knowledge of lifecycle across  Derivatives, Securities, and FX products
  • Expertise in modelling various methodologies: UML, Entity Relationships, dimensional, DataVault
  • Familiarity with advanced formal specification languages (semantic web, ontologies, RDF)
  • Familiarity with various industry formats – FpML, FIX, SWIFT, ISO, and COTS data models (IBM, Golden Source, Teradata, etc)
  • Detailed analytical approach; logical, precise thinker
  •  Comfortable with various features of modelling tools: MagicDraw, ERwin, PowerDesigner 
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