Financial Service Data Modeler - Amsterdam

Core Attributes:- - Knowledge of FSDM ( Financial Service Data Model), FSWM (Financial Services Workflow Model),FSFM ( Financial Services Function Model)
- Knowledge of IFW Process & Integration Models
- Experience in data identification into 9 sub classifications of IFW and accordingly creating the data model for the financial institution
- Experience in Source to target data mappings
- Experience in Defining BST ( Business Solution Templates), Application Solution Templates ( ASTs),Project Views
- Adept in Conceptual Model, Analytical requirement Models,data Diagrams, XML Schemas, Scopes of the IFW Framework
- Understanding of the Various Golden Sources within the IT Landscape used for financial institution and able to map the data to logical model
- Understanding of 9 Core Data concepts of IFW Framework
- Co-relating those 9 core data concepts with Business Concepts
- Experience in Defining Logical Data model for the financial process within a financial institution, Knowledge of E- R Diagrams
- Having Architecture sense of Knowledge Especially BDW Architecture to be able to define the Enterprise Data Ware House Solution.
- Knowledge of IDA ( Info sphere Data Architect)
- Knowledge of Industry Model Data ware House Development Method (DWDM)
- Knowledge of EME ( Enterprise Model Extender) which is a part of the IFW Package
- Knowledge of Standard M1 Tooling as a part of the IBM IFW packaging solution.
- Experience in understanding the common data Taxonomy for reusability of the data modelling solutions within the IBM IFW Framework.

Domain Attributes:- - Knowledge of Legacy banking
- Knowledge of Commercial/Retail Banking Basics.
- Knowledge of Credit Cards/Mortgages, Markets etc.
- Knowledge of Payment Domain (SWIFT/SEPA/BACS etc.)
- Knowledge of Products ( For AAB Dutch Financial Products )
- Understanding of the Functional Area of MDM in AAB and other ADW related domains where data flows in from multiple channels.

Technical Attributes:- - Good in SQL
- Good in Data Mining and Data Analysis
- Knowledge of SQL Developer,TOAD or any other query tool
- SOA (Service Oriented Architecture) for Technical Folks for designing the components of the data model.