Advanced Treasury Analytics – Vice President

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Commercial & Investment Bank

The Vice President will lead the design and delivery of analytical products, models, and tools for Treasury decision-making, focusing on liquidity, risk, capital, and balance sheet management. This role involves working with large financial datasets, partnering with various business and technology teams, and managing junior members. The position requires advanced technical skills in Python and SQL, experience with modern data platforms, and a track record of delivering solutions into production, with a demonstrated ability to pragmatically apply AI tools.

What you'd actually do

  1. Lead the design and delivery of analytical products, models, and tools that support Treasury decision-making across liquidity, risk, capital, and balance sheet management.
  2. Work hands-on with large and complex financial data sets to develop scalable analytics, generate insights, and improve decision-support capabilities.
  3. Partner with Treasury, Financial Resource Management, Markets, and Technology stakeholders to define priorities, translate requirements, and drive delivery from concept through implementation.
  4. Develop robust analytical frameworks and communicate recommendations clearly to senior stakeholders, balancing technical rigor with business relevance.
  5. Manage junior team members, supporting their professional development and growth.

Skills

Required

  • Python
  • SQL
  • Databricks
  • Snowflake
  • cloud-based tools
  • quantitative analytics
  • data analysis
  • financial services
  • Treasury analytics
  • balance sheet analytics
  • Financial Resource Management

Nice to have

  • financial modeling
  • optimization techniques
  • resource allocation frameworks

What the JD emphasized

  • At least 6 years of relevant experience
  • Advanced technical background with proven experience building analytical solutions, data tools, or quantitative products in a business, Treasury, or risk management context.
  • Proven ability to work with large, complex data sets and translate analysis into scalable workflows, tools, and decision-support outputs.
  • Track record of partnering across business, Quantitative Research, and Technology teams to deliver strategic analytics solutions into production.