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Business Modeling Team - Quant Modeling Lead

Job in New York, New York County, New York, 10261, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-04-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below
Location: New York

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 Lead, within the Business Modeling Team, you will provides high visibility and direct impact on CCB’s modeling strategy and business outcomes and serve as the portfolio/program leaderfor a Line of Business (LOB) and supporting functions, establishing clear plans, milestones, dependencies, and decision forumsto 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 pathsand escalate me 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 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 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 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.
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