Branch Channel Analytics Team - Machine Learning Lead

Join a team that powers JPMorgan Chase with insights to create competitive advantages for our business and deliver value for our customers and unifies data and analytics talent across the firm and encompass a variety of disciplines including data science, reporting, quantitative analytics, and data governance. 

As a Machine Learning Lead, within the Branch Channel Analytics team, you will lead the development and deployment of machine learning solutions that power the next generation of banker-to-customer outreach moving beyond single-action recommendations toward a multi-action prioritization framework that helps bankers deliver the right message, to the right customer, at the right time. 

Job Responsibilities:

• Design, develop, and deploy machine learning models that optimize proactive banker outreach, building and evolving a multi-action prioritization framework that recommends and ranks multiple sets of actions (e.g., product conversations, servicing follow-ups, relationship deepening) for bankers to execute across the branch network.
• Serve as a subject matter expert on a wide range of ML techniques and optimizations, including ranking/recommendation systems and multi-objective optimization approaches.
• Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
• Collaborate with cross-functional teams — including marketing, product, risk, and other Data & Analytics teams — to align model outputs with business goals
• Communicate complex analytical findings and model outputs in intuitive business language to senior stakeholders, translating business requests into analytical strategies.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree with 7+ years of experience in a related discipline, or 5+ years and a Master's or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• At least 5 years of experience applying data science and ML techniques to solve business problems, with intermediate-to-advanced Python proficiency and 5+ years of SQL experience (Teradata preferred) required.
• 2+ years of measurement and optimization experience, with demonstrated expertise in ranking, recommendation, and/or multi-objective optimization systems and a strong grasp of the full test/learn cycle.
• Solid background in machine learning and deep learning methods, with understanding of frameworks such as PyTorch or TensorFlow.
• A unique combination of technical skills, storytelling ability, and business intuition — with the ability to translate complex analytical concepts into intuitive business language, influence cross-functional partners, and drive projects through to completion with limited supervision.
• High standards for work quality with meticulous attention to detail, ensuring accuracy and rigor across all analytical outputs and deliverables.
• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.

Preferred Qualifications, Capabilities, and Skills

• Experience implementing next-gen models using machine learning in a Hadoop environment (e.g., kNN, MDP, neural networks, ensemble methods).
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like SageMaker, EKS, etc..
• PySpark experience is a plus.
• Financial services experience is a plus, but not required.

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

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.