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Consumer and Community Bank Treasury Analytics - Vice President

Are you ready to make a significant impact across the Consumer & Community Banking finance organization? Join the Consumer & Community Banking Treasury Analytics team and help to manage JPMorgan Chase’s fortress balance sheet and support high-profile decision making in areas including interest rate risk, capital, liquidity, transfer pricing, valuation, and balance sheet strategy.

As a Vice President within the Consumer and Community Bank Treasury Analytics team, you will directly influence the Firm’s asset-liability management strategy and promote best practices and profitability across the Consumer and Community Bank.

Job Responsibilities:

  • Driving core processes such as the annual establishment of capital allocations and pricing capital as well as ad hoc projects as needed

  • Designing and executing accurate, high-integrity financial analyses to guide business decisions

  • Creating high-quality, well-structured presentation materials for senior audiences and clearly communicating the team’s work to senior and junior colleagues

  • Building relationships, influencing stakeholders, and owning end-to-end work streams to achieve the team’s goals

  • Leveraging AI tools to create efficiencies in key work streams and deeper understanding of key content

Required qualifications, capabilities and skills:

  • 8+ years of full-time work experience in finance, investment banking, or strategy

  • Demonstrated ability to pick up complex concepts quickly, address ambiguous problems with quantitative analytical approaches, communicate effectively and confidently (both oral and written), and work well in cross-functional teams

  • Highly self-motivated, comfortable in fast-paced environments with shifting priorities, and intellectual curiosity for finding and capturing business value

  • Relevant knowledge in at least one of the team’s key content areas (e.g. capital, liquidity interest rate risk, transfer pricing, and / or corporate finance)

  • Quantitatively focused undergraduate or graduate degree (e.g., finance, economics, mathematics, engineering) or other demonstrated quantitative and analytical ability

  • Advanced PowerPoint and Excel skills

Preferred qualifications:

  • Familiarity with Essbase, LLM, Co-Pilot, and / or other AI tools

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