Join a team transforming how JPMorgan Chase leverages advanced analytics and AI/ML to optimize pricing strategies and forecast financial performance. Partner with data scientists, engineers, and business leaders to deliver products that drive measurable business impact across three major lines of business.

 

As a VP, you will be supporting the Product Owner to bridge the gap between advanced analytics and business strategy, translating complex AI/ML models into actionable product features. Your day involves collaborating with data science teams to refine pricing optimization models, presenting financial impact analyses to senior stakeholders, managing product roadmaps through agile frameworks, and hands-on analytics work using Python, Databricks, and Tableau. This role combines strategic product thinking with technical depth, requiring you to understand both the "what" and the "how" of AI/ML-driven solutions.

Job Responsibilities:

Partner with the Area Product Owner to define and prioritize product roadmaps for pricing optimization and forecasting solutions across Auto Finance, Wealth Management, and Business Banking.Translate business requirements into actionable user stories and technical specifications, managing product backlogs using Jira and Jira Align.Interpret and explain AI/ML models (XGBoost, MIP optimization) and assess financial impact on key metrics including RoE, SVA, and loan volume.Collaborate with data scientists to refine model features, validate outputs, and ensure alignment with business objectives.Serve as a trusted advisor to senior business leaders, translating complex analytical concepts into clear, actionable insights and managing stakeholder expectations.Perform hands-on analytics using Python, PySpark, and Databricks for exploratory analysis, model validation, and impact assessments.

Lead agile ceremonies and manage delivery timelines, dependencies, and risks to ensure successful product delivery.

 

Required Qualifications, Capabilities, and Skills:

7+ years of experience in analytics, finance, or product management within financial services.Proven track record managing AI/ML or advanced analytics products with experience in pricing, forecasting, or risk modeling.Proficiency in Python and PySpark for data manipulation, analysis, and model validation.Hands-on experience with Databricks, AWS, and modern cloud analytics platforms.Strong understanding of financial metrics including RoE, Shareholder Value Add, Net Interest Income, and Non-Interest Revenue, with ability to assess business impact.Demonstrated ability to define product vision, roadmaps, and feature prioritization using agile methodologies.

Exceptional communication skills with ability to present complex analytical concepts to executive audiences.

 

Preferred Qualifications, Capabilities, and Skills:

Master's degree in Analytics, Statistics, Economics, Finance, Computer Science, or related field.Deep understanding of statistical models and machine learning algorithms (XGBoost, regression, optimization)Experience working across multiple lines of business (Auto Finance, Wealth Management, Business Banking)