CSBB Quantitative Assets Governance Execution Consultant

About the role

The Quantitative Assets Governance Execution Consultant is responsible for execution of model governance and data governance activities for the Data & Governance group of Consumer & Small Business Banking (CSBB).

Responsibilities

• Execute model governance activities aligned to Model Risk Management lifecycle requirements, including development, validation, implementation, use, ongoing monitoring, and retirement.
• Support model inventory management, including candidate identification, intake, designation, and quarterly attestation.
• Perform model governance routines such as peer review coordination, model documentation validation (MDD), and Quality Check (QC) control execution.
• Ensure completion and evidence of model ongoing monitoring (OGM), including data controls, reporting, and control execution.
• Coordinate with Business Data Stewards and Business Data Executives to confirm data quality, lineage, and certification for model development and use.
• Track and manage model-related Issues and Sub-Issues, including remediation planning, status reporting, and closure in accordance with enterprise Issue Management policy.
• Execute and monitor Key Risk Indicators (KRIs) and model risk reporting across CSBB, including use-before-validation, monitoring breaches, and control deficiencies.
• Support audit and regulatory exam activities, including evidence gathering, response coordination, and remediation tracking.
• Act as liaison between business, risk, and technology partners to ensure alignment on quantitative asset governance requirements and execution.
• Support preparation of materials for governance forums, working groups, and risk committees.
• Maintain and update model inventory records and ensure completeness and accuracy of required fields within the system of record (ServiceNow).

Qualifications

• Bachelor’s degree in business, finance, risk, data, analytics, or related field.
• Experience in model risk management, model governance, data governance, or risk/control environment.
• Understanding of model lifecycle activities including development, validation, implementation, and ongoing monitoring.
• Experience working with model inventory systems, issue management systems, or governance tools (e.g., ServiceNow, Archer).
• Ability to execute structured processes, controls, and reporting routines.
• Strong attention to detail and ability to manage multiple deliverables.
• Strong communication and collaboration skills across business, risk, and technology stakeholders.

Pay

The annual base salary for this position is $130,000 - $180,000.

Schedule

Regular or Temporary: Regular