CSBB Quantitative Assets Governance Execution Consultant

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** Regular or Temporary:*
* Regular

** Language Fluency:
** English (Required)

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* Work Shift:

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* 1st shift (United States of America)

** Please review the following job description:*
* 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). This role supports end-to-end model lifecycle governance, ensuring adherence to Model Risk Management (MRM) Policy and Procedures, including model development, validation, implementation, use, and ongoing monitoring. The role partners with Model Risk Oversight (MRO), Business Data Stewards, and Business Unit stakeholders to ensure models are appropriately governed, documented, monitored, and compliant with regulatory expectations.

The role also executes data governance responsibilities including issue management, risk control execution, and regulatory/audit support.

** ESSENTIAL DUTIES AND RESPONSIBILITIES*
* Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time.

1. Execute model governance activities aligned to Model Risk Management lifecycle requirements, including development, validation, implementation, use, ongoing monitoring, and retirement.

2. Support model inventory management, including candidate identification, intake, designation, and quarterly attestation.

3. Perform model governance routines such as peer review coordination, model documentation validation (MDD), and Quality Check (QC) control execution.

4. Ensure completion and evidence of model ongoing monitoring (OGM), including data controls, reporting, and control execution.

5. Coordinate with Business Data Stewards and Business Data Executives to confirm data quality, lineage, and certification for model development and use.

6. Track and manage model-related Issues and Sub-Issues, including remediation planning, status reporting, and closure in accordance with enterprise Issue Management policy.

7. Execute and monitor Key Risk Indicators (KRIs) and model risk reporting across CSBB, including use-before-validation, monitoring breaches, and control deficiencies.

8. Support audit and regulatory exam activities, including evidence gathering, response coordination, and remediation tracking.

9. Act as liaison between business, risk, and technology partners to ensure alignment on quantitative asset governance requirements and execution.

10. Support preparation of materials for governance forums, working groups, and risk committees.

11. Maintain and update model inventory records and ensure completeness and accuracy of required fields within the system of record (Service Now).

** QUALIFICATIONS*
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* Required Qualifications:

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* The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor's degree in business, finance, risk, data, analytics, or related field.

2. Experience in model risk management, model governance, data governance, or risk/control environment.

3. Understanding of model lifecycle activities including development, validation, implementation, and ongoing monitoring.

4. Experience working with model inventory systems, issue management systems, or governance tools (e.g., Service Now, Archer).

5. Ability to execute structured processes, controls, and reporting routines.

6. Strong attention to detail and ability to manage multiple deliverables.

7. Strong communication and collaboration skills across business, risk, and technology stakeholders.

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* Preferred Qualifications:

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* 1. Experience supporting Model Risk Management programs within financial services.

2. Familiarity with regulatory guidance related to model risk (e.g., SR 11-7 / FIL-22-2017).

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Experience with model development documentation (MDD), peer reviews, and QC controls.

4. Knowledge of data governance concepts including data quality, lineage, and critical data elements (CDEs).

5. Experience supporting audit or regulatory exams.

6.

Experience with data risk, issue management, and control frameworks.

7. Knowledge of AI/ML model governance considerations.

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

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