Chase Modeling - Applied AI Modeling Lead - Vice President

JPMorgan Chase JPMorgan Chase · Banking · Chicago, IL +1 · Consumer & Community Banking

Lead the development and deployment of AI/ML models for financial services, focusing on retail, credit card, home, auto lending, and wealth management. This role involves end-to-end project leadership, stakeholder management, and ensuring regulatory compliance.

What you'd actually do

  1. 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.
  2. 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.
  3. Be a subject matter expert and trusted advisor to business partners, helping them understand the strengths and limitations of our models.
  4. Partner with Governance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
  5. Coach and mentor junior team members, supporting their development in technical, business, and communication skills.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • 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
  • regulatory compliance standards

Other signals

  • Develop and launch machine learning and AI models tailored to business goals
  • Lead modeling or data science engagements end-to-end
  • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks