As part of 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 judgment to solve real-world challenges that impact our company, customers, and communities.

As a Wholesale Credit Associate in the Wholesale Credit Risk team, you will work with large credit datasets, produce insightful segmentation and trend analyses (e.g., concentrations, migration, early warning indicators), and translate results into clear narratives for stakeholders. The Wholesale Credit Portfolio Analytics Team focuses on identifying and monitoring top risks across a diverse range of industries, developing and maintaining client and portfolio dashboards, and delivering analytics that inform senior management decision-making. Additionally, you will partner closely with Credit Officers, Portfolio Management, and Technology to improve data, reporting, and scalable analytics solutions.

Job Responsibilities

• Produce recurring and ad hoc portfolio analytics for the Wholesale Credit book, including concentrations, rating migration, emerging risks, and performance trends
• Conduct thematic deep dives on priority risk topics (industry stress, macro sensitivities, outlier behaviors), synthesizing results into actionable insights
• Translate analytics into concise materials for senior stakeholders with clear data-backed narratives
• Develop and maintain client and portfolio dashboards (KPIs, risk indicators, drill-down views) to support monitoring and escalation of top risks
• Assist in applying LLMs to synthesize unstructured data (financials, research, news) into structured datasets for use in risk monitoring and analysis
• Partner with Technology, Data, and adjacent Risk teams to improve data quality and scale analytics solutions

Required Qualifications, Capabilities and Skills

• Bachelor’s or Master’s degree in a quantitative field such as Finance, Economics, Mathematics, Statistics or a related discipline
• Minimum 3 years of relevant experience in financial analytics, credit risk, or a related quantitative field
• Excellent problem-solving and teamwork skills
• Proficiency in Python with experience manipulating datasets (pandas, SQL, Num Py) and building reproducible analytical workflows
• Strong written and verbal communication skills with the ability to present analytical work clearly
• Familiarity with or willingness to learn core credit risk