Quant Analytics [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Consumer & Community Banking

Quant Analytics role focused on leveraging customer data for business and marketing strategies within a financial services context. Responsibilities include analyzing complex datasets, developing business intelligence dashboards, assessing customer journeys, applying advanced analytics for segmentation and targeting, forecasting P&L impacts, designing digital experiments, and collaborating with cross-functional teams. Requires a Master's degree or Bachelor's with equivalent experience and proficiency in SQL, Alteryx, R/Python, Teradata/Snowflake, Tableau, Adobe Analytics, and statistical/machine learning methods.

What you'd actually do

  1. Leverage customer data to generate insights that shape business and marketing strategies for deposit portfolios.
  2. Analyze large and complex datasets, translating them into recommendations that guide decision- making and set priorities.
  3. Develop and deliver business intelligence through dashboards and executive reports, tracking key metrics such as customer engagement, conversion funnel performance, and account production, and share these findings with stakeholders.
  4. Assess omni-channel customer journeys, identifying areas of friction and uncovering opportunities to improve discoverability, increase conversion rates, and enhance the overall customer experience.
  5. Apply advanced analytics techniques and integrate both internal and external data to segment current and potential customers, identify growth opportunities, refine targeting strategies, and evaluate portfolio performance.

Skills

Required

  • Automating the production of recurring reports and dashboards in SQL using ETL techniques and streamlined workflows
  • Data blending, workflow optimization, process automation, and integration of data from big data platforms using Alteryx
  • Developing interactive Excel and PowerPoint reports with advanced functions including VLookup, Data Analysis Add-Ons, Pivots, Macros, Data Validation, Waterfall, and Gantt Charts
  • Preparing performance measurements by translating quantitative information
  • Performing data ingestion, data transformation, and query optimization using Teradata or Snowflake big data platforms
  • Conducting statistical analysis and predictive modeling using R or Python
  • Building interactive Tableau dashboards leveraging advanced visualization, ETL automation, and ODBC connectors
  • Monitoring customer digital engagement across owned digital platforms, optimizing user experience, and driving data-driven marketing strategies using Adobe Analytics
  • Driving customer behavioral analytics and projects
  • Guiding A/B testing design, performance measurement, and deep dives analysis
  • Using customer omni channel shopping journey analysis
  • Conducting customer segmentation and strategic targeting using R or Python
  • Performing statistical analysis using machine learning methods including multivariate regression, clustering analysis, classification techniques, cohort analysis, and predictive modeling