JP Morgan Chase

Runs a consumer bank and an investment bank

Applied AI Modeling Lead

Applied Machine LearningConfirmed live in the last 24 hours

Full-time$128.3k - $260kIn-person

About the Job

Requirements

A Master of Science degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics/Statistics, or Operations Research.
At least 7 years of hands-on, relevant Credit Cards industry experience developing statistical, econometric, or machine learning models.
At least 5 years of hands-on experience with Artificial Intelligence, such as reinforcement learning or optimization algorithms.
Proficiency in Python and hands-on experience with machine learning and deep learning frameworks, including TensorFlow and PyTorch, and libraries such as NumPy, Scikit-Learn, and Pandas.
Strong working knowledge of Jupyter Notebook or JupyterLab.
Ability to define analytical approaches by converting ambiguous business inquiries into clear, actionable analysis plans.

Responsibilities

Develop and launch machine learning and AI models tailored to business goals, balancing performance metrics with speed to market and complexity considerations.
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 project plans; conducting exploratory data analysis to formulate testable business hypotheses; developing and deploying models; and monitoring performance.
Serve as a subject matter expert and trusted advisor to business partners, helping them understand the strengths and limitations of the 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 in their technical, business, and communication skills.

Desired Qualifications

A PhD in a quantitative discipline.
Experience developing advanced forecasting, AI, or machine learning models in consumer finance, financial services, technology, or a major retailer.
AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals certification.
Knowledge of Databricks and Snowflake.

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.

Base Pay/Salary: New York,NY $171,000.00-$260,000.00; Jacksonville,FL $128,250.00-$225,000.00; Plano,TX $137,750.00-$235,000.00; Columbus,OH $128,250.00-$225,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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