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No of position :- ( 1 )
Post :- 9th Nov 2023
· Identify data and information needs for wholesale lending business of ICG.
· Deep understanding of information and data architecture, keen eye in business data and problem-solving solutions on an enterprise level
· Develop conceptual, logical, physical models and metadata solutions in UML using Magic Draw tool and validate the models with spec by use case examples.
· Working with product and technology teams to understand requirements and partnering with Engineering team to execute the models.
· Design and maintain blueprint of the information architecture, data integrations and controls aligned to the renewed business strategy.
· Unify data concepts across disparate front office, credit risk, servicing, and reporting functions of ICG.
· Determine database structural requirements by analysing client operations, applications, and data from existing systems.
· Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists, and governance teams.
· Define, model, and rationalize target state solution, socialize with key stakeholders, and conduct walkthrough.
· Incorporate data standards and implement governance model.
· Develop data flows, ownership matrixes, mapping, and data lineage.
· Assist in the implementation of physical data model, contribute to the system and operational design, carry out optimization for usability and performance.
Qualifications:
· 8-10 years hand-on experience in Data Modelling and Data Architecture
· Extensive experience in UML/relational/hierarchical and business data analysis
· Experience in UML is preferred.
· Experience Object Oriented development and python is a plus.
· Hands-on modelling expertise in OLTP modelling with tools such as ERwin, ERStudio or Magic Draw.
· Prefer data modelling experience using Magic Draw and Cameo. Utilize Code Engineering Sets to generate executable code.
· Financial industry knowledge in Capital Markets/Banking is a plus but not required.
· Knowledge of Data Management methodologies involving architecture, modelling, storage, security
· Prior experience in data integration, interoperability, and data quality solutions.
· Analytical and problem solver, excellent verbal, written and presentation skills.