Applied AI/ML Modeling - Senior Associate

JPMorganChase; Town of Columbus (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive total rewards

On-site health & wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is seeking an Applied AI Modeling Senior Associate within the Branch Network Modeling team in New York. You will build AI/ML models to optimize branch networks and empower bankers, using geospatial analytics and graph-based methods to guide strategic investments and workforce effectiveness.

The role involves end-to-end modeling engagements, translating outputs for non-technical partners, and ensuring compliance in model reviews.

Qualifications

• Advanced degree (master's or PhD) in a quantitative or spatial discipline.
• 3+ years of hands-on experience in developing and deploying AI/ML models including reinforcement learning or optimization algorithms.
• Proficient in Python with ML/deep learning frameworks (TensorFlow, PyTorch) and libraries (NumPy, Scikit-Learn, Pandas).
• Deep expertise in geospatial analytics, graph neural networks, reinforcement learning, or behavioral modeling.

Responsibilities

• Develop and launch AI/ML models for Consumer Banking activities including retail network optimization and resource allocation.
• Interface with business, governance, UX, and technology stakeholders; formulate testable hypotheses using large geospatial and behavioral datasets.
• Translate model outputs into actionable recommendations for Real Estate, Finance, and Market Strategy.
• Ensure governance and regulatory compliance in model reviews and performance tracking.

Skills

Python

ML frameworks

Geospatial analytics

Graph neural networks

Reinforcement learning

Behavioral modeling

Education

Master's degree or PhD in quantitative/spatial discipline

PhD in a relevant discipline

Tools

GeoPandas

PySAL

H3

Esri/ArcGIS

Carto

PyTorch Geometric

DGL

NetworkX

Job description

Job Description
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.

Job Description
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 Senior Associate 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.

Job 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.
• Participate in 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.

Required Qualifications, Capabilities, And Skills

• 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.
• 3+ 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

Preferred Qualifications, Capabilities, And Skills

• 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.

ABOUT US
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.