Applied AI/ML Modeling - Vice President

JPMorgan Chase & Co. • New York, NY

1d

About The Position

Our Branch Network Modeling team develops advanced analytics and machine
learning solutions that inform high-impact decisions across physical location
strategy and field workforce effectiveness.

As an Applied AI Modeling Vice President in Branch Network Modeling team, you
will build advanced artificial intelligence (AI) and machine learning (ML)
models that directly shape high-stakes decisions impacting Chase’s branch
network and the bankers who serve our customers. Your models will help optimize
our branch network, using geospatial AI and graph-based models
to determine where Chase should invest, grow, or reposition its physical
footprint, or will empower our bankers in the field to serve our customers using
techniques like reinforcement learning and behavioral science.

Requirements

• Advanced degree (master’s or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.
• 4+ years of hands-on, relevant industry experience in developing and deploying AI/ML models, including statistical modeling, ML, reinforcement learning, or optimization algorithms.
• Proficient in Python with hands-on experience in ML and deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab and cloud computing.
• Deep expertise in at least one of the following, with meaningful exposure to at least one other: Geospatial analytics, spatial statistics, or spatial optimization Graph neural networks, network science, or graph-based optimization Reinforcement learning, multi-armed bandits, or online/continuous learning Behavioral modeling, adaptive intervention design, or human performance optimization

Nice To Haves

• Hold a PhD in a relevant discipline.
• Experience developing advanced AI or ML models in consumer finance, logistics, major retailers, or AI-native platforms.
• Experience with at least one of the following: geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS, Carto, Wherobots, QGIS), graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX), RL libraries (e.g., RLlib, Stable Baselines, Vowpal Wabbit).
• Familiarity with behavioral science concepts (e.g., nudge theory, decision theory) or experience building adaptive, continuous learning, or recommendation systems.
• Experience with Databricks, Snowflake, or similar platforms.

Responsibilities

• Develop and launch AI and ML models that solve complex, ambiguous business problems in Consumer Banking, spanning areas such as retail network optimization, investment optimization, resource allocation, and sales effectiveness.
• Lead modeling engagements end-to-end, including interfacing with business, governance, UX, and technology stakeholders; articulating clear business use cases; delivering on project plans; and working with large, complex datasets — including geospatial, demographic, transactional, and behavioral data — to formulate testable business hypotheses.
• Translate technical model outputs into clear, actionable recommendations for non-technical business partners in Real Estate, Finance, and Market Strategy.
• Partner with governance teams to expedite fair and thorough model reviews, track performance metrics, and maintain adherence to regulatory compliance standards.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
• Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees