CSBB Quantitative Assets Governance Execution Consultant

Truist Bank•Charlotte, NC

1d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

Experience supporting Model Risk Management programs within financial services.
Familiarity with regulatory guidance related to model risk (e.g., SR 11-7 / FIL-22-2017).
Experience with model development documentation (MDD), peer reviews, and QC controls.
Knowledge of data governance concepts including data quality, lineage, and critical data elements (CDEs).
Experience supporting audit or regulatory exams.
Experience with data risk, issue management, and control frameworks.
Knowledge of AI/ML model governance considerations.

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).