Consumer and Community Banking - Quant Modeling Management Lead; VP

Position: Consumer and Community Banking - Quant Modeling Management Lead (VP)
:

Category:
Predictive Science

Job Schedule:

Full time

Posted Date: T12:34:30+00:00

Job Shift:

Base Pay/Salary:
New York,NY $-$

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 Consume rand Commercial Banking Team, you will provides high visibility and direct impact on CCB's modeling strategy and business outcomes and serve as the portfolio/program leader for a Line of Business (LOB) and supporting functions, establishing clear plans, milestones, dependencies, and decision forums to ensure consistent delivery across the model lifecycle.

Job Responsibilities:

* Own the portfolio "book of work" for Business Modeling across an LOB/COE, including intake, prioritization, capacity/roadmap planning, dependency management, and milestone governance 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 program operating rhythms (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 operating 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.