<p>JobID: 210736416</p> <p>Category: Risk Analytics/Modeling</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2026-04-21T15:21:45+00:00</p> <p>JobShift:</p> <p>:</p> <p>Bring your expertise to JPMorgan Chase. As part of our Risk Management and Compliance team, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgment to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.</p> <p>As a Card Risk Portfolio Analytics Lead, you'll work with the risk team to generate thoughtful analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring.</p> <p>Job Responsibilities:</p> <ul> <li>Directly manage a team of analytics professionals to deliver analysis on emerging trends in the card portfolio and influence improvements to card risk management </li><li>Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle </li><li>Acquire an understanding of the operational processes (e.g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers </li><li>Conduct ad hoc analytics and contribute to various projects representing risk management </li><li>Influence senior leadership with compelling recommendations that benefit risk management </li></ul> <p>Required qualifications, skills, and/or capabilities:</p> <ul> <li>MS degree in statistics, econometric, quantitative finance, or other quantitative field required and 3 years Risk Management or other quantitative experience preferred </li><li>Otherwise, BS degree and minimum 5 years Risk Management or other quantitative experience required </li><li>Advanced understanding of data analysis tools such as SAS, Python, SQL, Alteryx, Tableau, etc. </li><li>Ability to query large amounts of data from a big data environment and transform the raw data into actionable management information </li><li>Familiarity with risk analytic techniques </li><li>Strong analytical and problem-solving abilities </li><li>Strong written and oral communication skills </li><li>Experience delivering recommendations to management </li><li>Leading and developing a team of analytics professionals </li></ul>