Consumer Credit Data Lead

at  City National Bank

SKILLS AND KNOWLEDGE

• In-depth knowledge of the financial services industry
• Must have working knowledge of bank processes and controls.
• Emphasis in Regulatory Reporting experience preferred.
• Experience working in a formal risk controls environment with strong understanding of scheduled deliverables.
• Experience in operationalizing data governance, data quality and infrastructure
• In-depth knowledge of Oracle/Snowflake a plus
• Expert with SQL and Tableau
• Strong analytical skills with the ability to extract the context of the data through standard data analysis methodologies
• Excellent leadership, communication (written and oral) and interpersonal skills
• Proven ability to work creatively and analytically in a problem-solving environment
• Well versed in Microsoft Office products including Word, Excel, Visio, SharePoint and PowerPoint.

COMPENSATION

Starting base salary: $111,408 - $189,738 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.

• To be considered for this position you must meet at least these basic qualifications

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

• Develop data rules and write SQL queries to identify potential credit data inconsistencies in the loan system for further review and remediation by Consumer Credit Products colleagues.
• Design and implement streamlined and/or automated credit data quality control process for monitoring and oversight.
• Execute credit portfolio reporting and data governance including product, risk rating, segmentation, credit behavioral data management, trends and vintage analysis.
• Identify opportunities to embed and enhance credit data management practices into daily operations and business processes across the team.
• Detect data anomalies, identify source of data problems, and recommend data quality solutions.
• Support data governance strategy by being involved in data initiatives and projects.
• Create credit data and loan portfolio architectures designed to solve key credit issues.
• Write queries to support data analysis and ad hoc reports to support team and bank initiatives.
• Partner with internal colleagues in other areas of the bank to build scalable solutions to ensure data quality.
• Maintain current knowledge of related regulatory and bank policies and procedures and establish new processes or enhancements to existing processes to address changing requirements