Data Modeler remote

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

Data Modeling, Data Modeling, Wholesale Industry, Loans, Agile Programming Methodologies, Leading Edge Technology, Strategic Planning, Microservices, Application Integration, Credit Risk, 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

ESR Healthcare