Strategic Analytics - Associate

As a Strategic Analytics - Associate in Risk Management and Compliance, 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 judgement 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.

In the role you will support the Risk team for the Auto Finance portfolio by conducting data-driven analyses, developing actionable insights, and collaborating with cross-functional partners to optimize loss assessments. This role offers the opportunity to work in a dynamic environment, present findings to senior management, and contribute to key business initiatives across Chase Auto.

• Complete analytical tasks independently and as part of a team, including problem identification, objective setting, data discovery, analysis of large datasets, and synthesis of findings into actionable recommendations and presentations.
• Partner with the Acquisition Risk Criteria team to analyze the relationship between credit performance and policy, supporting the optimization of supporting the optimization of acquisition strategies.
• Build strong relationships with Business Operations, Finance, Product/Pricing, Collections, and IT teams to implement loss assessment changes.
• Maintain and update industry and competitor insights to assess portfolio positioning and identify opportunities for optimization.
• Support senior management with ad hoc requests, such as preparing talking points for investor meetings and presentations.
• Serve as a subject matter expert on credit losses for business initiatives across Chase Auto.

• BA/BS in Finance, Economics, Statistics, or a related field; 5+ years of relevant experience.
• Strong quantitative and analytical problem-solving skills.
• Experience with statistical analysis and data mining using SAS, SQL, or Python.
• Effective written and verbal communication skills, with the ability to present analysis and results.
• Ability to understand complex concepts and clearly articulate recommendations in a fast-paced environment.
• Comfortable working with ambiguity and finding creative ways to enhance analytic capabilities while having a broad view of the business needs
• Demonstrated strong work ethic and intellectual curiosity.
• Proactive and results-driven.
• Willingness to ask challenging questions and challenge the status quo.
• Confident presence; comfortable interacting with and presenting to all levels of management.
• Proficiency in Microsoft Office applications.

• Professional designation or advanced degree preferred.