Data Modeler(FR Y-14/ FRY-14) - Charlotte NC (hybrid 3 days in a week) - Contract

• Design, develop, and maintain conceptual, logical, and physical data models supporting mortgage and banking applications.
• Work closely with business stakeholders, data analysts, developers, and regulatory reporting teams to understand data requirements and translate them into effective data models.
• Analyze mortgage and loan data, including origination, servicing, balances, payments, delinquency, collateral, and borrower-related information.
• Support FR Y-14 / FRY-14 regulatory reporting requirements, ensuring accurate data mapping, transformation, and lineage.
• Develop and maintain data dictionaries, business glossaries, data definitions, and source-to-target mappings.
• Identify relationships, dependencies, and data gaps across multiple source systems and downstream reporting platforms.
• Collaborate with data engineering teams to ensure data models are aligned with ETL/ELT processes and enterprise data architecture.
• Perform data analysis and validation to identify data quality issues, inconsistencies, and reporting discrepancies.
• Support reconciliation and validation of mortgage data used for regulatory reporting and risk management.
• Participate in requirements gathering, data profiling, source-system analysis, and impact assessments.
• Ensure data models follow enterprise standards, governance policies, and regulatory requirements.
• Document data lineage and transformation rules for critical FR Y-14 reporting data elements.
• Work with cross-functional teams in an Agile environment and effectively communicate technical concepts to business stakeholders.

• Strong experience as a Data Modeler in the banking, financial services, or mortgage industry.
• Hands-on experience with FR Y-14 / FRY-14 regulatory reporting.
• Strong mortgage domain knowledge, including mortgage loans, servicing, origination, collateral, payments, delinquency, and related financial data.
• Experience creating conceptual, logical, and physical data models.
• Strong SQL skills with experience in data analysis and validation.
• Experience with data mapping, data lineage, data dictionaries, and metadata management.
• Understanding of relational databases and enterprise data warehouse concepts.
• Experience working with large and complex financial datasets.
• Strong understanding of data quality, reconciliation, and regulatory reporting processes.
• Excellent analytical, problem-solving, documentation, and communication skills.

Preferred Qualifications

• Experience with banking regulatory reporting, risk data, or capital reporting.
• Knowledge of other Federal Reserve regulatory reporting requirements.
• Experience with mortgage risk, credit risk, or financial risk data.
• Familiarity with data modeling tools such as Erwin, ER/Studio, or similar tools.
• Experience working in Agile/Scrum environments.
• Bachelor’s degree in Computer Science, Information Systems, Finance, or a related field is preferred.