JPMorgan Chase CIB Treasury – Quantitative Modeling Group - Associate in Brooklyn, New York

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at at .

The CIB Treasury is a critical function within CIB Finance & Business Management. It is responsible for managing the liquidity, balance sheet, and capital positions of the investment banking businesses, establishing transparent and market-based funds transfer pricing policy, and developing methodologies and metrics to improve the leverage, capital, collateral, and liquidity risk management capabilities of the Corporate and Investment Bank.

The Capital Management and Liquidity Group, a unit within CIB Treasury, has a broad mandate spanning liquidity policy, capital stress testing, and quantitative modeling. The Group partners with senior finance leadership to analyze and manage the liquidity and capital positions of J.P. Morgan’s investment banking businesses.

In support of this goal, the Quantitative Modeling Team develops decision-support tools for senior management along with value-adding analytics to streamline initiatives related to capital and liquidity management. Indicative projects have dealt with optimization, machine learning, time-series forecasting, along with the development of web-based analytics.

The Quantitative Modeling team is looking for a high-performing Associate or Analyst to support a broad array of initiatives for the Capital Management and Liquidity Group. This role is based in Brooklyn, New York and reports to CIB Treasury’s Quantitative Modeling Lead based in London, United Kingdom.

The ideal candidate should have demonstrated skill in executing complex and quantitative analytics as a member of a team and also feel comfortable operating in a fast-paced and dynamic environment. Strong quantitative, organizational and, communication skills are essential; the candidate is expected to work on multiple projects simultaneously and communicate results with senior stakeholders in Treasury and the Corporate and Investment Bank more broadly.


  • Support an entrepreneurial team in performing in-depth data analysis, using statistical and machine learning techniques, to pragmatically build predictive and explanatory models

  • Proactively translate business challenges related to capital management and liquidity into quantitative analyses and user-friendly tools for use by a broad audience

  • Work independently and collaboratively to establish close partnerships with peers across CIB Treasury, the greater CIB organization, and Global Treasury / CIO

  • Effectively communicate and describe complex analyses, concepts, and tools to senior stakeholders both inside and outside of CIB Treasury in a clear and concise manner

  • The preferred candidate will be dynamic and intellectually curious, with a demonstrated track record of delivering insightful analysis both individually and as part of a team.

  • B.S. or M.S. in a highly quantitative discipline (e.g. statistics, mathematics, computer science, economics, or engineering)

  • Proven experience programming in R or Python, or any other statistical programming language; development of web-based analytics and applications (e.g. R-Shiny) is desirable

  • Strong interpersonal and communication (verbal and written) skills are essential. Imperative to present information in a clear and concise manner to a wide variety of audiences

  • Passionate about tackling difficult questions, conducting data analysis, and crafting a cohesive story from results

  • Experience collecting, aggregating, and curating structured and unstructured datasets from various sources

  • Strong problem solving skills along with statistical and economic intuition; preferably experience with machine learning and other advanced statistical concepts

  • Must be versatile, able to work effectively independently, leading, or as contributor to a team, on multiple projects simultaneously

  • Self-starter, able to organize, and execute responsibilities with limited supervision, taking ownership of tasks at hand

  • Ability to work under pressure, rapidly prototype solutions, prioritize multiple tasks and bring projects to completion

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.