Marketing Business Modeling - Applied AI ML Lead

Job Description
Join the team that works with cutting-edge AI labs, collaborates with cross-functional teams, and delivers intelligent solutions that enhances our operations.
As an Applied AI Ml Lead, within the Machine Learning and AI team, you will lead the design, development, and scaling of machine learning and AI workflows in our Consumer and Community Bank business.
Job Responsibilities:

• Guide a dedicated AI team to explore advanced ML and AI techniques such as, LLMs, generative AI, agentic systems, to address strategic Consumer and Community Banking challenges in front-to-back modeling.
• Architect and implement state-of-the-art machine learning pipelines, scalable services, and APIs using Python, PySpark, DBX, and more.
• Research, prototype, deploy, and monitor ML models, including classification, regression, transformer-based LLMs, and multi-modal agentic workflows.
• Work with Product, Consumer Banking, Finance, Compliance, Technology, Legal, and CDAO to deliver AI and ML-powered automation, agents, and decision support.
• Ensure robust model risk documentation, regulatory compliance, fair and responsible AI, monitoring, and version control frameworks.
• Coach a hybrid team of ML engineers, data scientists, and research technologists, fostering best practices in MLOps and Python-driven experimentation.
• Translate model outputs into business KPIs, deliver performance insights to senior leadership, and drive ROI and adoption across CCB.

Required qualifications, capabilities, and skills:

• Master's in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field; 5+ years in the industry as a data scientist/ML engineer, including lead roles building AI/ML applications in tech or financial services.
• Proficiency in Python, PyTorch, TensorFlow, Scikit-learn, Jupyter; hands-on with LLM agent frameworks, deep learning (CNNs, transformers), exploratory data analysis.
• Experience with MLOps, model monitoring, cloud (AWS, Azure), Spark/PySpark, or Databricks.
• Understand data structures, algorithms, scalable system design, and production practices.
• Familiarity with prompting techniques, fine-tuning, multi-modal agent workflows, APIs for LLMs.
• Strategic thinking, clear communication across technical and non-technical audiences, ability to translate OKRs, mentor teams, and influence stakeholders.

Preferred qualifications, capabilities, and skills:

• PhD preferred for deep-Lab/agentic use cases
• Experience in financial institution environments.
• Publications or patents in ML/AI, particularly agentic or generative systems.
• Familiarity with Responsible AI frameworks: fairness, bias mitigation, explainability.
• Domain experience in marketing, forecasting, media.

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.