Quant Analytics [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Quant Analytics role at JPMorgan Chase focused on using analytics and financial modeling to optimize marketing campaigns, customer targeting, and product strategies within the financial services industry. Requires experience in P&L analytics, customer segmentation, mass media measurement, and data manipulation with SQL and Python, as well as team management and stakeholder liaison.

What you'd actually do

  1. Perform analytics and modeling to enhance targeting and effectiveness of strategic marketing campaigns.
  2. Inform organization-wide strategic investments in marketing by applying financial modeling, product economics, customer journeys, and business/product expertise.
  3. Lead analytical teams to enable the customization of products, offers, and customer experiences that optimize value for clients, partners, and the bank.
  4. Work closely with business teams to measure and manage marketing campaign performance, and collaborate with peers in data and analytics on data, analytics, and artificial intelligence (Al) capabilities.
  5. Focus on optimizing targeting strategies across channels including digital, direct mail, branch, affiliates and partners.

Skills

Required

  • working within the financial services industry
  • financial product economics
  • profit and loss (P&L) analytics
  • financial modeling
  • optimizing profitability drivers
  • optimizing marketing to impact channel targeting strategies
  • using customer segmentation and behavioral analytics to improve marketing efficiency
  • mass media performance measurement
  • liaising with C-suite level decision-makers in a global matrixed organization
  • managing teams in a global analytics organization
  • designing and developing interactive dashboards and reports using Tableau
  • performing data manipulation, data structuring, and query optimization using SQL and Python

What the JD emphasized

  • financial services industry
  • financial product economics
  • profit and loss (P&L) analytics
  • financial modeling
  • optimizing profitability drivers
  • optimizing marketing to impact channel targeting strategies
  • customer segmentation and behavioral analytics
  • mass media performance measurement
  • liaising with C-suite level decision-makers
  • managing teams in a global analytics organization
  • designing and developing interactive dashboards and reports using Tableau
  • performing data manipulation, data structuring, and query optimization using SQL and Python