Revenue Modeling and Analytics - Vice President

Join us as a Quant Analytics VP to turn Non-Interest Revenue (NIR) data into growth—own forecasting models, uncover key trends, and shape product strategy. Bring SQL/Databricks/Python expertise and business intuition to test, refine, and present insights that drive senior leadership decisions. As a Quant Analytics Vice President, you will analyze Non-Interest Revenue (NIR) data to uncover key trends and drive model development that informs business strategy. You will own the end-to-end creation of qualitative models and collaborate with quantitative modelers to forecast Non-Interest Revenue and key revenue drivers. You will present your findings to senior leadership, providing clear and actionable insights. You will apply your business intuition and technical skills to test models, analyze back testing results, and identify opportunities for improvement. Your expertise will help shape the future of revenue growth and product strategy. Job Responsibilities Assist quantitative modelers with data procurement and refinement (SQL, Databricks) Troubleshoot forecast model implementation code (python) issues Analyze deposit transaction data to identify trends in consumer/business behavior to aide in model development and to describe revenue growth trends Assist quantitative modelers in the development of statistical models which forecast non-interest-revenue (debit card revenue, overdraft revenue, etc). Perform deep-dive analysis on deposit transaction data to determine key trends that are impacting NIR growth Apply macroeconomic and business intuition to inform independent variable selection Test draft models against various economic scenarios and analyze model output Analyze back testing results of models to identify areas of model miss and suggest independent variables that may remediate that miss Analyze recent data trends and changes to the business/products that may elicit new trends Develop a strategic data framework for NIR key drivers and metrics Gather timely data and content for creation of insightful management reporting and communications for the business Required Qualifications, skills, and capabilities: Bachelor’s degree in Finance, Mathematics, Economics or related field 6+ years of progressive experience in financial analysis or modeling experience Strong ability to communicate complex analytical findings clearly and effectively to senior leadership and non-technical stakeholders Thorough understanding of profitability drivers and analysis, valuation frameworks, and discounted cash flow modeling Ability to leverage data to drive thorough analysis for insightful results to influence decisions Experience creating and presenting senior executive level communications Excellent interpersonal skills to build relationships and work effectively with a variety of individuals and business partners Self-starter with a steady curiosity and ability to work independently and as a team in a fast-paced, results-oriented environment Organized problem solver with a collaborative mindset and strong critical thinking skills Highly productive with a keen attention to detail and ability to multi-task effectively SQL and Databricks experience for large-scale data processing and advanced analytics Preferred Qualifications, skills, and capabilities: Knowledge of Hyperion Essbase and SAP helpful, but not required #J-18808-Ljbffr JPMorgan Chase & Co.