The Product Analytics Lead owns the end‑to‑end quantitative agenda for JPMorgan Personal Investing – Brokerage, integrating advanced statistical methods, machine learning, and portfolio theory into production‑grade solutions and insights. The role designs and deploys propensity models to deepen client engagement, builds portfolio construction frameworks grounded in Monte Carlo and optimization techniques, and delivers rigorous business analytics for senior stakeholders.

Job Responsibilities

• Develop and enhance quantitative tools and reusable frameworks that support investment decision‑making, product development, and ongoing performance monitoring.
• Own end‑to‑end business analytics for the Brokerage team, transforming complex datasets into strategic insights and clear product recommendations for senior stakeholders.
• Conduct applied research on statistical, machine learning, and mathematical methods relevant to brokerage and personal inv...