Markets Treasury - Liquidity and Capital Optimization - Vice President

JPMorgan Chase JPMorgan Chase · Banking · LONDON, LONDON, United Kingdom · Commercial & Investment Bank

The role focuses on optimizing financial resources within JPMorgan Chase's Markets Treasury team, covering balance sheet, liquidity, leverage, and capital. It involves developing and implementing optimization strategies, understanding regulatory environments, and partnering with stakeholders. Key responsibilities include driving optimization efforts across collateral, liquidity, counterparty credit risk RWA, market risk RWA, leverage, and GSIB. The role also involves developing optimizers and analytics, potentially leveraging AI tooling, and understanding internal liquidity methodologies and counterparty portfolios. Collaboration with technology and quantitative research teams is expected.

What you'd actually do

  1. Help drive the agenda within the Markets Treasury organization, focusing on creating and implementing optimization strategies in response to the firm's binding financial resource constraints
  2. Drive optimization efforts across collateral management, liquidity management (LCR/NSFR/internal stress models), counterparty credit risk RWA, market risk RWA, leverage, and GSIB
  3. Understand firm and legal entity-level drivers of financial resource consumption
  4. Partner with relevant FICC & Equities trading desks to move collateral in ways that maximize liquidity value for the firm
  5. Drive the development of optimizers, data-mining strategies, benefit trackers, and related analytics, leveraging AI tooling where possible to scale solutions and reduce time to market

Skills

Required

  • Bachelor's degree in Finance, Engineering, Mathematics, or a related quantitative field
  • Extensive experience in structured financing, financing, XVA, or a financial resource optimization role
  • Prior experience structuring derivative and securities financing trades
  • Working knowledge of US financial resource topics, including liquidity (internal stress models, LCR, NSFR), Basel III, GSIB, SLR, SCB, and regulatory initial margin (NCMR/CCP)
  • Strong knowledge of pricing and risk management of securities financing and derivative transactions, cross-asset and with an understanding of derivative XVAs
  • Proven experience working with large amounts of data across a variety of technology stacks
  • Track record of successfully partnering with technology and quantitative research teams

Nice to have

  • Advanced degree and/or relevant certifications
  • Deep experience working with Python, SQL, Tableau, AWS, Databricks, and AI tools strongly preferred

What the JD emphasized

  • regulatory environment
  • binding financial resource constraints
  • collateral management
  • liquidity management (LCR/NSFR/internal stress models)
  • counterparty credit risk RWA
  • market risk RWA
  • leverage
  • GSIB