Senior Quant Analytics - Client Data & AI Product Lead

Aumni; Jersey City (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Senior Associate in Quantitative Analytics within the Asset & Wealth Management BI&A team to own the Client Analytics Data Product. You will shape data for AI, partner with cross-functional teams, and deliver actionable quantitative insights and recommendations.

Responsibilities include building dashboards in Power BI and Qlik Sense, integrating multiple data sources, and developing models in SQL and Python to enable AI-ready analytics and trusted decision support for

Qualifications

• 3+ years of experience in quantitative analytics, data science, business intelligence, or analytics consulting delivering insights and analytics products for multiple business teams.

Responsibilities

• Own the Client Analytics Data Product roadmap, success measures, and delivery plan, prioritizing work by business use case and adoption outcomes.
• Partner with marketing, sales, finance, product strategy, client service, and investment teams to run intake, align priorities, and drive adoption of analytics products.
• Deliver quantitative insights and senior-ready recommendations that improve decisions across the business.
• Design and execute analyses using methods such as regression, segmentation, propensity modeling, attrition modeling, forecasting, attribution, and test-and-learn experimentation.
• Define shared client and product definitions and certified metrics so teams and AI tools consistently get the same answer to the same question.
• Build scalable dashboards and reusable analytics products in Power BI and Qlik Sense, and partner with technology teams to embed insights into workflows and reporting.
• Integrate internal and third-party data and build validated analytical models in SQL and Python.

Skills

Quantitative analytics

Statistics

Regression

Forecasting

Python

SQL

Data visualization

Tools

Power BI

Qlik Sense

Job description

JPMorganChase is seeking a Senior Associate in Quantitative Analytics within the Asset & Wealth Management BI&A team to own the Client Analytics Data Product. You will shape data for AI, partner with cross-functional teams, and deliver actionable quantitative insights and recommendations.

Responsibilities include building dashboards in Power BI and Qlik Sense, integrating multiple data sources, and developing models in SQL and Python to enable AI-ready analytics and trusted decision support for