JPMorgan Chase is looking to create high-impact quantitative models for their customers' financial needs across various sectors like retail, credit card, home lending, auto lending, and wealth management.
Requirements
- 7+ years of hands-on experience 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
- Expertise in at least one programming language, such as Python
- 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
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)
- Act as 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
Other
- M.S. degree in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics
- PhD in a quantitative discipline
