Hiring: Collections Analytics Team - Quant Analytics Manager Company: JPMorganChase Location: Wilmington, DE Job Posted Time: 2026-09-12 14:38:03 Employment Type: On-site Target Skills & Keywords : AWS, LLM, Microsoft Excel, Python, SQL, Snowflake, Stakeholder Management About the job Experience: •7+ years of experience in an analytical, finance, or engineering-related role •7+ years of hands-on experience across a broad range of analytics technologies and tools including, SQL, Python, SAS, Alteryx, Snowflake, AWS, Tableau, Unix, and Excel, in a big data environment Required Skills: •Join a team that designs and delivers analytical solutions that has measurable business impact through data? •As a Quant Analytics Manager, within the Collections Analytics team, you will design and deliver analytical solutions that has measurable business impact, spanning product benefit assessments, financial business cases, performance measurement, and strategy and channel optimization through data-driven insights and recommendations. •Develop a deep understanding of the card, overdraft, and auto collections business — including product features, strategy, collections-specific performance metrics and terminology, and the nuances of collections data •Conduct rigorous quantitative analysis using SAS, SQL, Alteryx, and/or Python to evaluate the performance of new and existing collections strategies and product features •Identify opportunities to enhance existing strategies and product functionality; define and develop key performance indicators (KPIs) for new initiatives •Build compelling financial business cases to support product initiatives and investment decisions •Partner with Technology and Product teams to define data capture, storage requirements, and recommendations in support of future initiatives and platform migrations •Champion analytical automation — identify and execute opportunities to streamline and scale analytical processes Qualifications: •Bachelor's degree or higher in a quantitative discipline — Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems, or equivalent; 7+ years of experience in an analytical, finance, or engineering-related role Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!