VP, AI/ML Modeling for Branch Network Strategy

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied AI Modeling Vice President to build advanced AI/ML models shaping branch network strategy and field workforce effectiveness.

You will work with geospatial AI, graph-based optimization, and reinforcement learning to guide investments and operational decisions. You will lead modeling engagements end-to-end, coordinating with business, governance, UX, and technology teams while leveraging large, diverse datasets.

Qualifications

• Advanced degree in a quantitative or spatial field (Master/PhD).
• 4+ years hands-on AI/ML model development experience, with production deployments.
• Proficient in Python; experience with TensorFlow or PyTorch and NumPy/Scikit-Learn.
• Deep expertise in geospatial analytics, graph networks, RL, or behavioral modeling.
• Experience handling geospatial, demographic, transactional, and behavioral datasets.

Responsibilities

• Develop and launch AI/ML models solving complex business problems across Consumer Banking.
• Lead end-to-end modeling engagements with business, governance, UX, and tech stakeholders.
• Translate model outputs into actionable recommendations for Real Estate, Finance and Market Strategy.
• Partner with governance teams to expedite reviews and maintain regulatory compliance.

Skills

Python

ML frameworks

Geospatial analytics

Graph neural networks

Reinforcement learning

Behavioral modeling

Jupyter Notebook

Cloud computing

Education

Master's or PhD in a quantitative or spatial discipline

Tools

GeoPandas

PySAL

H3

Esri/ArcGIS

Carto

PyTorchGeometric

DGL

NetworkX

RLlib

Stable Baselines

VowpalWabbit

Databricks

Snowflake

Job description

JPMorgan Chase & Co. is seeking an Applied AI Modeling Vice President to build advanced AI/ML models shaping branch network strategy and field workforce effectiveness.

You will work with geospatial AI, graph-based optimization, and reinforcement learning to guide investments and operational decisions. You will lead modeling engagements end-to-end, coordinating with business, governance, UX, and technology teams while leveraging large, diverse datasets.