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Collections Analytics-Vice President

Collections Analytics-Vice President

CompanyJP Morgan Chase
LocationWilmington, DE, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior, Expert or higher

Requirements

  • Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems) and 6+ years of experience in Data Analytics or Risk/Business Strategy in Financial Services
  • Proficiency in SAS/SQL and/or Alteryx
  • Ability to leverage analytics insights to design risk or business strategies, and design/produce A/B testing analytics
  • Highly effective communication and storytelling skills and ability to bridge technical and non-technical audience and stakeholders
  • Knowledge of best practices within data visualization and user experience
  • Proficiency in Microsoft Office (especially Excel and PowerPoint)

Responsibilities

  • Understand the card and overdraft collections business, including existing product features and strategy, various collections-specific performance metrics and terminology, and nuances of collections data
  • Perform detailed quantitative analysis using SAS/SQL and/or Alteryx to evaluate performance of new and existing collections strategies and product features
  • Identify opportunities to enhance existing strategy segmentation and product functionality, and translate analytics insights into actionable business recommendations
  • Analyze customer interactions and events across a variety of channels (calls, texts, digital) to better understand customer journeys and friction points
  • Develop business cases with financial sizing to support various product initiatives
  • Present analytics findings and recommendations to senior leadership clearly and concisely, influence stakeholders, and gain cross-functional alignment
  • Partner with technology and product to create data capture and storage requirements for existing and future initiatives

Preferred Qualifications

  • Master’s degree in quantitative or technical discipline
  • Knowledge and experience in credit card and/or retail bank businesses
  • Collections strategy and/or analytics experience
  • Experience in Digital or Omni-channel analytics
  • Knowledge of AI/ML use cases in financial services
  • Proficient using Agile methodology (Scrum or Kanban)