The Chase Business Modeling team builds industry-leading statistical, Machine Learning (ML), and AI solutions. As an Applied AI Modeling Lead in our Finance Modeling team, you will work with colleagues across the Finance organization at JPMorgan Chase to deliver high-impact quantitative models for our customers’ financial needs, including banking, deposits, credit cards, home and auto lending, and wealth management. Job Responsibilities: Lead a modeling or data science engagement end-to-end (interfacing with business, governance, and tech stakeholders, articulating a clear business use case, creating and delivering on a project plan, conducting exploratory data analysis to formulate testable business hypotheses, model development and deployment, and performance monitoring) Become a subject matter expert and trusted advisor to your business partners and help them understand the strengths and limitations of our models Be proactive about changes in model performance, customer behavior, and the competitive landscape Coach and mentor junior team members and help develop their technical, business, and communication skills Required qualifications, capabilities, and skills: M.S. degree in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics 3 years of hands-on experience developing statistical, econometric, or machine learning (ML) models. 3 years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Expertise in at least one programming language, with Python preferred 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 Please note: No relocation is not offered and/or supported for this role. This employer is a corporate member of myGwork - LGBTQ professionals, the business community for LGBTQ professionals, students, inclusive employers & anyone who believes in workplace equality.