Job Description

Harness your technical and strategic expertise to shape innovative client solutions and bridge product capabilities with real-world challenges!

As a Product Quant Analytics Manager, within the Card and Overdraft Collections Analytics team, you will be responsible for partnering with various stakeholders to manage Collections product performance, efficiency, and user experience improvement.

Job 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, branch, online, mobile) to better understand customer journeys and friction points Develop business cases with financial sizing to support various collections 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 teams to create data capture and storage requirements for existing and future initiatives

Required qualifications, capabilities and skills:

Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems; 6+ years of experience in Data Analytics or Risk/Business Strategy in Financial Services  Proficiency in SAS/SQL and/or Alteryx Proven 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)

Preferred qualifications, capabilities and skills:

Masters or above degree in quantitative or technical discipline Knowledge and experience in credit card and/or retail bank businesses highly preferred Collections strategy and/or analytics experience preferred  Experience with Python and AI/ML use cases in Financial Services preferred Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology