Quant Analytics Manager

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

Quant Analytics Manager at JPMorgan Chase leading advanced analytics for the Small Business Card line of business. Focuses on digital data, customer behavior analysis, predictive modeling, and portfolio performance to shape marketing strategies and drive growth. Requires strong quantitative skills, experience with analytics tools (Adobe Analytics, Python, SAS, R, SQL, Snowflake, Databricks), and stakeholder management.

What you'd actually do

  1. Provide thought leadership and technical expertise in advanced analytics, including predictive modeling, clustering and machine learning.
  2. Serve as a subject matter expert in digital data, and analyze and visualize digital customer behaviors to translate engagement patterns into insights that shape marketing strategy and product innovation.
  3. Manage and analyze large, complex datasets from multiple sources, connecting customer behaviors across spend, payment, engagement, and digital interactions to actionable strategies that improve profitability and performance .
  4. Deliver tactical and strategic insights across marketing, sales, finance, and related business functions using modern visualization and reporting tools, with an emphasis on executive-ready narratives and decision support .
  5. Diagnose data quality issues and statistical anomalies, identify process improvement opportunities, and strengthen repeatability and controls across analytics workflows and reporting outputs .

Skills

Required

  • Masters or Bachelors degree in a quantitative field
  • 5+ years of relevant experience
  • Demonstrated experience with digital analytics, visualization, and data workflow tools, including Adobe Analytics
  • Proven ability to serve as a digital data subject matter expert
  • Strong hands-on experience with data mining, analytical methods, and implementation of analytics into business strategy and execution
  • Proficiency in analytical languages (e.g., Python, SAS, R)
  • Experience with Big Data technologies such as Snowflake and Databricks
  • Advanced SQL capability and experience working with relational databases
  • Experience with dynamic and interactive reporting tools (e.g., Alteryx, Tableau)
  • Exceptional interpersonal skills and a consulting orientation
  • Track record of delivering analytics and insights to multiple levels of management

Nice to have

  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling, crisp recommendations, and well-supported trade-offs
  • Experience working with cross-functional partners across marketing, product, finance, and risk to deliver measurable outcomes
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
  • Evidence of identifying, scaling, and institutionalizing process improvements that enhance data quality, repeatability, and reporting efficiency