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16 days
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$55.23/hr - $90.77/hr (Estimated)
<p>JobID: 210619447</p> <p>Category: Quant Analytics</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2025-05-12T14:23:25+00:00</p> <p>JobShift:</p> <p>:</p> <p>Harness your technical and strategic expertise to shape innovative client solutions and bridge product capabilities with real-world challenges!</p> <p>As a Collections Analytics-Vice President on the Card and Overdraft Collections Analytics team, you'll partner with various stakeholders to drive improvements in Collections product performance, efficiency, and user experience. By providing data driven insights for strategic decision enablement, you'll help measure performance as well as identify & quantify business cases for enhancement.</p> <p>Job responsibilities</p> <ul> <li>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 </li><li>Perform detailed quantitative analysis using SAS/SQL and/or Alteryx to evaluate performance of new and existing collections strategies and product features </li><li>Identify opportunities to enhance existing strategy segmentation and product functionality, and translate analytics insights into actionable business recommendations </li><li>Analyze customer interactions and events across a variety of channels (calls, texts, digital) to better understand customer journeys and friction points </li><li>Develop business cases with financial sizing to support various product initiatives </li><li>Present analytics findings and recommendations to senior leadership clearly and concisely, influence stakeholders, and gain cross-functional alignment </li><li>Partner with technology and product to create data capture and storage requirements for existing and future initiatives </li></ul> <p>Required qualifications, capabilities and skills</p> <ul> <li>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 </li><li>Proficiency in SAS/SQL and/or Alteryx </li><li>Ability to leverage analytics insights to design risk or business strategies, and design/produce A/B testing analytics </li><li>Highly effective communication and storytelling skills and ability to bridge technical and non-technical audience and stakeholders </li><li>Knowledge of best practices within data visualization and user experience </li><li>Proficiency in Microsoft Office (especially Excel and PowerPoint) </li></ul> <p>Preferred qualifications, capabilities and skills</p> <ul> <li>Master's degree in quantitative or technical discipline </li><li>Knowledge and experience in credit card and/or retail bank businesses </li><li>Collections strategy and/or analytics experience </li><li>Experience in Digital or Omni-channel analytics </li><li>Knowledge of AI/ML use cases in financial services </li><li>Proficient using Agile methodology (Scrum or Kanban) </li></ul>
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