Business Modeling - Applied AI Modeling Lead (VP)

Testing Site - JPMC; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase in New York, NY seeks an Applied AI Modeling Lead to collaborate across the organization and develop high-impact ML models for retail, credit, and wealth management. You will drive end-to-end modeling initiatives, balancing performance with regulatory requirements and business needs.

The role requires leadership in model development, deployment, and stakeholder communication, plus mentoring junior team members in a fast-paced, data-driven environment.

Qualifications

• M.S. degree in a quantitative discipline.
• 7+ years of hands-on experience in the Credit Cards industry developing statistical, econometric, or ML models.
• 5+ years of hands-on AI experience such as reinforcement learning or optimization algorithms.
• Proficient in Python with hands-on experience in ML/DL frameworks (TensorFlow, PyTorch) and libraries (NumPy, Scikit-Learn, Pandas).

Responsibilities

• Develop and launch ML/AI models tailored to business goals, balancing performance with speed to market.
• Lead modeling/data science engagements end-to-end with business, governance, and tech stakeholders.
• Be a subject matter expert to help partners understand model strengths and limitations.
• Partner with Governance to ensure model documentation, performance tracking, and regulatory compliance.
• Coach and mentor junior team members in technical, business, and communication skills.

Skills

Credit Cards experience

AI/ML experience

Analytical thinking

Stakeholder communication

Education

M.S. in quantitative discipline

PhD in quantitative discipline (preferred)

Tools

Python

TensorFlow

PyTorch

NumPy

Pandas

Scikit-Learn

Jupyter Notebook

Job description

Come join us in reshaping the future!

As an Applied AI Modeling Lead, within our Business Modeling organization, you will collaborate with colleagues across JPMorgan Chase to create high-impact quantitative models for our customers' financial needs, including retail, credit card, home, auto lending, and wealth management.

Job Responsibilities:

• Develop and launch machine learning and AI models tailored to business goals, balancing performance metrics while keeping speed to market and complexity consideration in mind.
• Lead modeling or data science engagements end-to-end, including interfacing with business, governance, and technology stakeholders, articulating clear business use cases, creating and delivering on project plans, conducting exploratory data analysis to formulate testable business hypotheses, model development and deployment, and performance monitoring.
• Be a subject matter expert and trusted advisor to business partners, helping them understand the strengths and limitations of our models.
• Partner with Governance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
• Coach and mentor junior team members, supporting their development in technical, business, and communication skills.

Required Qualifications, Capabilities, and Skills:

• M.S. degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research).
• 7+ years of hands-on, relevant Credit Cards industry experience in developing statistical, econometric, or machine learning (ML) models; 5+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning or optimization algorithms.
• Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab is essential.
• Skilled at defining analytical approaches for projects by converting ambiguous business inquiries into clear, actionable analysis plans.

Preferred Qualifications, Capabilities, and Skills:

• PhD in a quantitative discipline.
• Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer.
• AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred. Knowledge of working on Databricks, Snowflake.