JPMorgan Quant Analytics Manager - Card Acquisitions Forecast & Offers 

United States, Delaware, Wilmington 

337786842

The Acquisitions Forecast & Offers Analytics team is integral to Card D&A, focusing on the development and application of quantitative methods as well as data exploration to inform and drive credit card acquisition strategy. You will work with industry-leading brands as well as emerging partnerships and contribute to the growth of our credit card portfolio.

Job Responsibilities:

• Contribute independently as well as lead, manage, and coach a team of analysts to:

• Provide both tactical support as well as strategic oversight to Product, Marketing, Finance, and Risk teams to drive credit card acquisitions investment decisions
• Develop and communicate actionable data-driven insights for marketing campaigns
• Leverage existing data assets and develop new ones to improve acquisitions forecast quality to grow the business sustainably
• Support card business goals, developing reports for senior leaders to define and monitor key performance metrics
• Be a champion of the data and analytics community, representing business users and analysts to data architects, platform developers, and data owners, and nurturing a broader culture of data-as-an-asset
• Improve our ways of working to increase efficiency and effectiveness, identifying and closing gaps between people, processes, and systems
• Ensure business continuity, driving the adoption of standards and best practices
• Stay current with industry trends and emerging technologies

Required Qualifications, Capabilities, and Skills:

• Bachelor's degree or equivalent in a quantitative discipline, e.g., engineering, mathematics, computer science, physical sciences, etc.
• 6+ years of professional experience combined or equivalent in data/decision science, forecasting, data management/engineering, and business intelligence
• Intermediate and better experience with data ETL, analysis, visualization, and change management using software tools such as Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, PowerPoint, etc.
• Communicate clearly and effectively to audiences of varying technical levels
• Manage competing priorities in highly matrixed organization

Preferred Qualifications, Capabilities, and Skills:

• Experience with causal inference and machine learning techniques, having developed and deployed quantitative models in a professional environment
• Professional experience in consumer banking, lending, or similarly regulated industries