Chase Modeling Applied AI Modeling Lead Vice President

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.