Applied AI Modeling Lead Vice President

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Posted
122 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $204k
$141k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $162,000–$246,150.

Based on 239 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Applied AI Modeling Lead Vice President

As the Chase Modeling - Applied AI Modeling Lead - Vice President within the Business Modeling organization, you will create high-impact quantitative models for retail, credit card, home, auto lending, and wealth management customers. You will lead end-to-end data science engagements by translating ambiguous business inquiries into actionable plans, conducting exploratory data analysis, and managing model development through deployment and monitoring. Your daily work involves building machine learning and AI models while balancing performance metrics with speed to market and complexity. You will serve as a subject matter expert for business partners and mentor junior team members. Required skills include Python, TensorFlow, PyTorch, NumPy, Scikit-Learn, and Pandas. You must possess expertise in reinforcement learning or optimization algorithms within the credit cards industry to solve complex financial modeling challenges while ensuring regulatory compliance through rigorous documentation.

What you'll do

  • Develop and launch machine learning and AI models tailored to specific business goals and performance metrics.
  • Lead end-to-end data science engagements from initial exploratory analysis to model deployment and monitoring.
  • Translate ambiguous business inquiries into clear, actionable analytical plans and project roadmaps.
  • Serve as a subject matter expert to advise business partners on model strengths and limitations.
  • Partner with governance teams to ensure documentation meets regulatory compliance standards.
  • Coach and mentor junior team members in technical, business, and communication skills.

What we're looking for

  • Master's degree in a quantitative discipline such as Computer Science, Data Science, Mathematics/Statistics, or Operations Research.
  • 7+ years of experience developing statistical, econometric, or machine learning models specifically within the Credit Cards industry.
  • 5+ years of hands-on experience with Artificial Intelligence, including reinforcement learning or optimization algorithms.
  • Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch.
  • Experience with libraries such as NumPy, Scikit-Learn, and Pandas.
  • Strong working knowledge of Jupyter Notebook/Lab.
  • Ability to translate ambiguous business inquiries into clear, actionable analysis plans.
  • Preferred PhD in a quantitative discipline or certifications in AWS Machine Learning or Azure AI Fundamentals.

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