VP, Applied AI Modeling & ML Strategy

JPMorgan Chase

Columbus (OH)

On-site

USD 128,000 - 225,000

Full time

14 days+

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Job summary

JPMorgan Chase seeks an Applied AI Modeling Lead (VP) to drive advanced quantitative modeling across retail, credit cards, home lending, and wealth management. You will collaborate with cross-functional teams to design and deploy ML/AI solutions that balance performance with time-to-market.

The role requires 7+ years in credit card modeling and 5+ years in AI, with strong Python and ML/DL framework expertise. Location includes multiple sites, with Columbus as a listed option.

Qualifications

  • MS degree in a quantitative discipline is required.
  • 7+ years in Credit Cards industry modeling (statistical/econometric/ML).
  • 5+ years in AI such as reinforcement learning or optimization algorithms.
  • Proficiency in Python with ML/DL frameworks (TensorFlow, PyTorch) and libraries; strong Jupyter Notebook experience.

Responsibilities

  • Develop and launch ML/AI models aligned with business goals and speed-to-market.
  • Lead modeling projects end-to-end including governance, planning, data analysis, modeling, deployment, and monitoring.
  • Serve as SME and trusted advisor to business partners on model strengths and limitations.
  • Partner with Governance to ensure model documentation, performance tracking, and regulatory compliance.
  • Mentor junior team members in technical, business, and communication skills.

Skills

Python
TensorFlow
PyTorch
Jupyter Notebook
Data analysis

Education

M.S. degree in a quantitative discipline
PhD in a quantitative discipline

Tools

Databricks
Snowflake

Job description

JPMorgan Chase seeks an Applied AI Modeling Lead (VP) to drive advanced quantitative modeling across retail, credit cards, home lending, and wealth management. You will collaborate with cross-functional teams to design and deploy ML/AI solutions that balance performance with time-to-market.

The role requires 7+ years in credit card modeling and 5+ years in AI, with strong Python and ML/DL framework expertise. Location includes multiple sites, with Columbus as a listed option.

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