Job Location : Wausau,WI, USA
Our client, a leading global financial services company, has approximately 200 million customer accounts and does business in more than 140 countries. They provide consumers, corporations, governments, and institutions with financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Description: Job Description Summary: The position is within Technology, and we are seeking a Data Modeler with strong hands-on experience in developing Conceptual, Logical and Physical Data Models across Banking and Finance with a preference for Wholesale Lending. Candidate must have experience in developing large scale data models that fit multiple lines of business. The work will involve developing strategic state-of-the-art solutions using agile methodologies, microservices, and integration with many applications/services. Responsibilities: Identify data and information needs for wholesale lending business. 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. 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 hands-on experience in Data Modeling and Data Architecture. Extensive experience in UML/relational/hierarchical and business data analysis. Experience in Object Oriented development is a big plus. Python experience. Hands-on modeling expertise using Magic Draw, Erwin or Enterprise Architect and metadata management tools. Prefer data modeling experience using Magic Draw and Cameo. Utilize Code Engineering Sets to generate executable code. Financial industry knowledge in Capital Markets/Banking is a plus. 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. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. #J-18808-Ljbffr