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 CCB’s 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 paths and 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 deliver executive-ready presentations for senior management—tailoring 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 driving documentation 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:
- Bachelor’s degree in a relevant discipline (analytics, finance, engineering, business, or related); 5+ years of relevant experience in program/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.