Strategic Analytics - Associate

Job Description

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.

The Strategic Analytics - Associate 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 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; 2+ 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.
• Demonstrated 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.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender,…