Connected Commerce and Cards - AI Modeling Lead

AI Modeling Lead

Join a team where you will remain deeply technical and hands-on while elevating the team's delivery velocity, modeling craft, and engineering rigor.

As an AI Modeling Lead, within our Connected Commerce and Card organization, you will collaborate with colleagues across JPMorgan Chase to create high-impact quantitative models for our customers' financial needs, specifically, to Connected Commerce & Cards.

Job Responsibilities:

• Design, train, and deploy machine learning and AI models tailored to business goals, balancing performance metrics while keeping speed to market and complexity considerations in mind, with a clear focus on commerce use cases and measurable customer and business impact.

• Lead modeling or data science engagements end-to-end, including interfacing with business, governance, and technology stakeholders; articulating clear business use cases; driving model development and deployment; and monitoring performance, with ownership of production readiness and operational reliability.

• 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, and actively setting a culture where hands-on coding, strong reviews, and shipped outcomes are the standard.

Required Qualifications, Capabilities, and Skills:

• M.S. degree in quantitative discipline (e.g., Machine Learning/AI, Computer Science, Engineering, Mathematics/Statistics, or Operations Research).

• 5–7 years of hands-on experience developing machine learning (ML) models, with meaningful exposure to deep learning algorithms or advanced techniques such as reinforcement learning (RL) 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.

• Demonstrated fluency with modern AI tooling, including LLMs, generative AI patterns, and emerging agentic frameworks, with the practical judgment to select tools that improve speed-to-value without compromising safety, controls, or maintainability.

Preferred Qualifications, Capabilities, and Skills:

• PhD in quantitative discipline.

• Experience developing advanced AI or ML models in consumer finance, financial services, tech, or a major retailer, with a track record of shipping at pace while maintaining strong technical and risk standards.

• Knowledge of working on Databricks and Snowflake, and comfort operating in modern, collaborative engineering workflows (version control, testing discipline, and production deployment practices).

• Contributions to the broader AI/ML community — such as published research, open-source contributions, or conference presentations — are a strong plus.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.