Applied AI/ML Modeling - Senior Associate

Aumni; New York (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive total rewards

Job summary

Chase is seeking an Applied AI Modeling Senior Associate to design and deploy advanced AI/ML models that shape branch network decisions and banker enablement. You will work with geospatial data, graphs, and reinforcement learning to optimize location strategy and field effectiveness.

The role involves collaborating with stakeholders across Real Estate, Finance, and Market Strategy, ensuring governance and compliance while delivering impactful insights and decisions.

Qualifications

• Advanced degree in a quantitative or spatial field (MS/PhD).
• 3+ years applying AI/ML models in industry settings.
• Proficient in Python with ML frameworks (TensorFlow, PyTorch) and libraries (NumPy, Scikit-Learn, Pandas).
• Experience with Jupyter Notebook/Lab and cloud computing.
• Deep expertise in geospatial analytics, graph ML, RL, or behavioral modeling.

Responsibilities

• Develop and launch AI/ML models for consumer banking optimization and field resources.
• Engage with business, governance, UX, and tech teams; translate use cases into actionable plans.
• Translate model outputs into clear recommendations for real estate, finance and strategy teams.
• Collaborate with governance to ensure model reviews and regulatory compliance.

Skills

Python

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Jupyter

Cloud computing

Geospatial analytics

Graph ML

Reinforcement learning

Behavioral modeling

Education

Master's or PhD in quantitative/ spatial discipline

PhD preferred

Tools

GeoPandas

PySAL

H3

Esri/ArcGIS

Carto

Wherobots

QGIS

PyTorch Geometric

DGL

NetworkX

RLlib

Stable Baselines

Vowpal Wabbit

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.

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 or beliefs, as well as mental health or physical disability needs. Visit FAQs for more information…

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking - … (continue).

The CCD Data & Analytics team responsibly leverages ...

Build geospatial, graph, and reinforcement learning models that inform branch network and banker enablement decisions.