Mid-Level
Risk Management - Portfolio Intelligence - Senior Associate
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping the firm strong and resilient. You help the business grow responsibly 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 is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.
As a Portfolio Risk Senior Associate within the Portfolio Management team, you will help deliver analytics and insights that inform strategy and critical business decisions for the ~$100B Commercial Term Lending (CTL) portfolio. You will partner with cross-functional teams, leverage data from multiple sources, and translate analysis into clear, measurable actions. You will also support additional analytical projects to develop data-driven strategies and promote the ongoing health of the CTL portfolio.
Job responsibilities
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Support the development and execution of data solutions to source, combine, and transform data from multiple systems for CTL analytics and reporting.
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Develop a strong understanding of CTL portfolio data and identify opportunities to improve data quality, efficiency, and insight generation.
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Monitor portfolio performance and market trends; track key risk metrics and communicate findings related to risk alerts and emerging trends
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Build scalable analytics and self-service reporting; design, enhance, and maintain dashboards and reports that deliver portfolio and market insights.
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Partner with Controls and Compliance to ensure analytical tools, reporting, and related processes align with firmwide policies and standards.
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Contribute to special projects and ad hoc analyses as needed.
Required qualifications, capabilities, and skills
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Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering, Computer Science, or related)
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Strong analytical and problem-solving skills, including root-cause analysis and ability to develop practical solutions from complex data.
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4+ years of experience across analytics platforms, languages, and tools such as Snowflake, AWS, Databricks, Alteryx, SQL, Tableau, Python, ThoughtSpot, or similar.
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Experience creating dynamic, interactive dashboards and reporting assets that drive insights.
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Excellent communication and interpersonal skills, with the ability to collaborate across teams and present findings clearly.
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Advanced proficiency in Microsoft Office (Excel, PowerPoint).
Preferred Qualifications, Capabilities, and Skills
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Financial services experience, particularly in data and analytics.
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Master’s degree in a quantitative field.
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