Credit Review Data Steward Lead

Leads the Credit Review Data and Analytics function with the Credit Review Professional Practices team, serving as the department's expert in portfolio analytics, data architecture, reporting, sampling methodologies, and emerging Artificial Intelligence (AI) capabilities. Owns the analytical framework used to support the portfolio Risk Assessment process, review universe development, Reviewable Entity definition, sample selection, portfolio monitoring, and executive reporting. Acts as the liaison between Credit Review and Enterprise Data, Technology, Risk, and Finance organizations. Uses expert knowledge to ensure that Credit Review data documentation and quality satisfies business needs in collaboration with other domain and product stakeholders.  Coordinates efforts spanning multiple domains to maintain and improve data quality through issue identification, management and remediation.

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Number of Staff:  5-8

• Develop and maintain the Credit Review team’s review and Reviewable Entity universe.
• Translate commercial and consumer loan portfolio data into Reviewable Entities.
• Create methodologies for portfolio segmentation and risk stratification.
• Develop and maintain portfolio monitoring metrics.
• Support the portfolio Risk Assessment process and review planning.

• Establish repeatable processes for extracting data from M&T platforms.
• Validate data quality and completeness.
• Maintain data lineage documentation.
• Manage relationships with data owners and technology teams.

• Design statistically valid sampling approaches.
• Develop risk-based and judgmental sampling frameworks.
• Optimize sample sizes while maintaining appropriate coverage.
• Support examiner and audit requests regarding sample methodology.

Build and oversee dashboards for delinquencies, defaults, charge-offs, Criticized/Classified assets, risk ratings, Watchlist credits, policy exceptions, review testing deviation and Findings, and review plan execution.

• Identify AI use cases within Credit Review.
• Evaluate Generative AI and predictive analytic solutions.
• Partner with Model Risk and Technology.
• Develop controls and governance around AI deployment.
• Pilot AI solutions involving credit memo analysis, review planning, sample selection, Findings summarization, risk trend identification, etc.

Complete other related duties as assigned.

To be completed with job posting

• Bachelor’s degree and a minimum of 7 years related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/ or work experience, including a minimum of 7 years related experience
• Minimum of 2 years’ managerial, supervisory, and/or work leadership experience
• Expert ability to pull data from Structured Query Language (SQL) platforms
• Proven ability to close data issues
• Experience owning the business relationship to get complex business requirements and translate those into tech requirements for engineers
• Experience setting the user acceptance test parameters to ensure conformity to business objectives
• Knowledge of data management

IDEAL QUALIFICATIONS PREFERRED:

• Credit Risk Management or Credit Review experience

• In-depth knowledge of and familiarity with data management, analysis, and warehousing products, systems and workflows (Python, Power BI, Alteryx, etc.)
• Experience using Data Governance Tools and with data warehousing concepts
• Experience leading the remediation of complex data issues

• Strong understanding of statistical sampling methodologies and statistical analysis techniques and tools

• Strong understanding of AI, Generative AI, and Machine Learning applications and capabilities
• Excellent prompt engineering skills
• Familiarity with Application Programming Interface (API) integrations

• Portfolio analytics experience