Data Modeler
Description:
Data Modeler
Irving, TX (3 days onsite - Hybrid)
12 months
Web Cam Interview
$65/Hr on W2
Summary:
we are seeking a Data Modeler with strong hands-on experience in developing Conceptual, Logical and Physical Data Model for Wholesale Lending.
Candidate must have experience in developing large scale data models that fits multiple lines of business.
The work will involve developing strategic state-of-the-art solutions using agile methodologies, micro services and integration with many application/services. Description:
Institutional operations group is responsible for the management and execution of transactions for Markets, Credit Risk, Security Services, Information Services, Private Bank, Treasury and Trade Solutions and Operation Controls and reporting.
The technology arm of ICG engaged in the application development and support for various lines of businesses Responsibilities:
Identify data and information needs for wholesale lending business of ICG
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
ssist 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.
nalytical and problem solver, excellent verbal, written and presentation skills Education:
Bachelors degree/University degree or equivalent experience
Certification in Data Architecture / Modeling is a plus
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