VP of AI/ML for Branch Network Optimization

Aumni; Columbus (OH); On-site; USD 180,000 - 360,000; Full time

Job summary

Chase is seeking an Applied AI Modeling Vice President to build advanced AI/ML models shaping branch network decisions and banker enablement. You will work with geospatial and graph-based techniques to decide where to invest, grow, or reposition physical footprints while empowering field teams with robust insights.

You will lead modeling engagements end-to-end, interfacing with governance, UX, and tech stakeholders, and translating complex outputs into clear business actions for Real Estate,

Qualifications

• Advanced degree in a quantitative or spatial discipline.
• 4+ years of hands-on AI/ML model development experience.
• Proficient in Python with ML/deep learning libraries today.
• Deep expertise in geospatial analytics, graph ML, RL, or behavioral modeling.

Responsibilities

• Develop and launch AI/ML models solving complex business problems across banking networks.
• Lead end-to-end modeling engagements with cross-functional teams and large datasets.
• Translate model outputs into actionable guidance for real estate, finance, and strategy partners.
• Ensure governance, model reviews, and regulatory compliance are maintained.

Skills

Python

ML frameworks

Geospatial analytics

Graph neural nets

Reinforcement learning

Behavioral modeling

Cloud computing

Data governance

Education

Master's or PhD in a quantitative field

Tools

GeoPandas

PySAL

H3

Esri ArcGIS

Carto

Wherobots

QGIS

PyTorch Geometric

DGL

NetworkX

RLlib

Stable Baselines

Vowpal Wabbit

Databricks

Snowflake

Job description

Chase is seeking an Applied AI Modeling Vice President to build advanced AI/ML models shaping branch network decisions and banker enablement. You will work with geospatial and graph-based techniques to decide where to invest, grow, or reposition physical footprints while empowering field teams with robust insights.

You will lead modeling engagements end-to-end, interfacing with governance, UX, and tech stakeholders, and translating complex outputs into clear business actions for Real Estate,