Consumer and Community Banking Quant Modeling Management Lead (VP)

Join a team that uses data across the Consumer & Community Bank to create competitive advantages while delivering value and protection for customers.

As a Quant Modeling Management Lead (VP) within the Consumer and Commercial Banking Team you will provides high visibility and direct impact on CCBs modeling strategy business management supporting a Line of Business (LOB) inclusive of supporting business plans milestone performance metrics management of the modeling life cycle and innovate using AI tools to the overall modeling management.

Job Responsibilities:

• Own Consumer and Commercial Banking (CCB) LOB including intake prioritization capacity/roadmap planning governance milestone and policy and end-to-end delivery coordination across model initiatives from concept and business case through development validation/review implementation monitoring and value realization.
• Identify risks issues and blockers early;drive resolution pathsand escalate with clear options trade-offs and recommendations and partner with model risk controls and governance teams to ensure initiatives align to model policies procedures and tooling expectations.
• Lead executive reporting (e.g. weekly updates operating committee materials ad-hoc/regulatory requests) with concise summaries of progress outcomes decisions required and risks/issues.
• Develop and deliverexecutive-ready presentationsfor senior managementtailoring messages for technical and non-technical audiences and coordinate with partner functions (Finance HR Learning & Development Technology enablement teams) to support hiring plans training completion resourcing alignment and operating cadence.
• Coordinate readiness for model reviews audits and regulatory exams by drivingdocumentation hygiene evidence collection action plans and timely closure of findings.
• Support ongoing lifecycle activities (e.g. monitoring performance testing cadence model change governance) through strong process and reporting discipline.
• Define and track portfolio health metrics and outcomes (e.g. delivery KPIs KRIs throughput cycle time quality/defect themes governance milestones) and provide actionable insights.

Required Qualifications capabilities and skills:

• Bachelors degree in a relevant discipline (analytics finance engineering business or related); 5 years of relevant experience inprogram/project management business management analytics/modeling operations or adjacent roles in financial services consulting or technology-driven organizations.
• Demonstrated ability to drive complex initiatives from planning through delivery in a matrixed environment including governance and stakeholder management.
• Strong analytical and critical thinking skills; ability to structure ambiguous problems and drive decisions.
• Exceptional written and verbal communication skills including executive-level presentation development and delivery.
• Proven ability to work under deadline pressure in a fast-paced evolving environment; strong conflict management and influence without authority.
• Ability to build strong relationships across Business Modeling Technology Risk Controls and LOB leadership to enable fast alignment and sustained execution.
• Ability to establish and run reporting metrics(e.g. weekly delivery checkpoints monthly business reviews quarterly planning) with clear artifacts: roadmap RAID logs decision logs and action tracking.

Preferred Qualifications capabilities and skills:

• Experience supporting quantitative models and/or AI/ML initiatives (including GenAI/agent-based solutions where applicable) analytics transformation programs or model lifecycle management of active and development models.
• Familiarity with model governance concepts (e.g. model development lifecycle performance monitoring documentation standards controls and audit/regulatory readiness).
• Knowledge of consumer banking products and operating environments.
• Track record of driving alignment across multiple teams toward measurable outcomes.