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Data Modeler (Banking)

Salary undisclosed

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Responsibilities:
Develop conceptual, logical models and metadata solutions
Performing Data Analysis on various data sets
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 analyzing 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 Modeling and implementation using RDBMS - Oracle preferred
Hands-on modeling expertise using Magic Draw, Erwin or Enterprise Architect and metadata management tools
Financial industry knowledge in wholesale lending, risk management, servicing and risk/regulatory reporting
SQL query knowledge and performing data analysis
Product knowledge in commercial banking, capital and investment banking and markets
Experience in UML/relational/hierarchical/Big Data concepts is a plus
Prefer data modelling experience using Magic Draw and Cameo. Utilize Code Engineering Sets to generate executable code or a database script. Write custom macros to efficiently validate and manage data models
Knowledge of Data Management methodologies involving architecture, modeling, storage, security
Prior experience in data integration, interoperability and data quality solutions.
Analytical and problem solver, excellent verbal, written and presentation skills

Education:
Bachelor s degree/University degree or equivalent experience
Certification in Data Architecture / Modeling is a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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