Applied AI Modeling Lead

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
148 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $207k
$144k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $168,225–$246,150.

Based on 239 similar postings.

Employer

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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Applied AI Modeling Lead

As the Chase Modeling - Applied AI Modeling Lead (VP), you will join the Business Modeling organization to create high-impact quantitative models for retail, credit card, home, auto lending, and wealth management products. You will lead end-to-end data science engagements, translating ambiguous business inquiries into actionable plans while managing model development, deployment, and performance monitoring. Your daily work involves building machine learning and AI models that balance performance 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 proficiency in Python, TensorFlow, PyTorch, NumPy, Scikit-Learn, and Pandas, along with experience in reinforcement learning or optimization algorithms. The role addresses complex financial needs by developing statistical, econometric, and deep learning models within the consumer finance domain.

What you'll do

  • Develop and launch machine learning and AI models tailored to specific business goals and performance metrics.
  • Lead data science engagements end-to-end from initial exploratory analysis to final model deployment.
  • Translate ambiguous business inquiries into clear, actionable technical analysis plans.
  • 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.
  • Monitor model performance metrics post-deployment to ensure continued accuracy.
  • Coach and mentor junior team members in technical 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.

More like this

Similar roles

Applied AI Modeling Lead Vice President

JPMorgan Chase

Chicago, IL 122 days ago
Machine Learning Artificial Intelligence Python TensorFlow PyTorch NumPy Scikit-Learn Pandas Jupyter Notebook Databricks Snowflake AWS Azure Deep Learning Reinforcement Learning Optimization Algorithms Exploratory Data Analysis
7+ yrs exp

Business Modeling - Applied AI Modeling Executive Director

JPMorgan Chase

New York, NY 81 days ago
Machine Learning Deep Learning Python TensorFlow PyTorch MLOps AWS Azure GCP Databricks Snowflake Scikit-Learn NumPy Pandas Jupyter Transformer Architectures Reinforcement Learning Causal Inference Distributed Computing
10+ yrs exp

Vice President, Applied AI/ML Modeling

JPMorgan Chase

New York, NY 156 days ago
Python TensorFlow PyTorch Scikit-Learn NumPy Pandas Jupyter Notebook Reinforcement Learning Graph Neural Networks Geospatial Analytics Spatial Statistics Optimization Algorithms Databricks Snowflake Cloud Computing GeoPandas NetworkX PyTorch Geometric
4+ yrs exp

Modeling Applied AI ML Senior Associate

JPMorgan Chase

New York, NY 107 days ago
Machine Learning Python Optimization Natural Language Processing Neural Language Modeling Recommender Systems Regression Classification Hadoop Spark big-data

Applied AI/ML Lead Vice President, Payments

JPMorgan Chase

New York, NY 122 days ago
Neural Networks Transformers Python PyTorch TensorFlow SQL Spark PySpark AWS MLOps CI/CD Docker Kubernetes Databricks Snowflake Model Compression Feature Stores
6+ yrs exp

Applied AI/ML Vice President

JPMorgan Chase

Chicago, IL 11 days ago
Machine Learning Deep Learning Generative AI LLMs NLP Python Java C++ Transformers Hugging Face TensorFlow PyTorch NumPy Scikit-Learn Pandas AWS SageMaker Prompt Engineering Big Data
7+ yrs exp