The Intraday Liquidity (IDL) Management function sits within Corporate Treasury and predominantly leverages a proprietary, real-time application under the same name, Intraday Liquidity (IDL), to look after all of the firm’s global cash & payments activity. The team interacts with global regulators, clearing houses, Financial Market Infrastructures, Wholesale Payments Technology, Treasury Funding, Liquidity Strategy, Liquidity Management, Liquidity Risk Management, and the lines-of-business teams to maintain and enhance the firm’s Intraday capability.

As a member of the IDL team within North America Treasury Funding, you will be tasked with being the first line of defense for firm wide IDL risk, engaging with lines of business & operations in active IDL management, owning the IDL playbook, and collaborating with the product and technology teams to advance the IDL application. Our partner teams are globally distributed therefore the ability to effectively collaborate and communicate with remote stakeholders and contributors across time zones is essential.

Job Responsibilities:

• Manage USD IDL risk across the central bank balance and bilateral counterparty flows; contribute to the tools and framework used to manage this risk.
• Leverage payments data to derive analytical insights on intraday cash flow patterns and drivers; collaborate with businesses on optimization.
• Use Python and AI/ML tools to publish a daily forecast and commentary for intraday flows across key central bank balances, payment channels and business lines.
• Collaborate with the Product team on further enhancements to the IDL application.
• Manage the USD Intraday Liquidity playbook covering Firm wide response to limit breaches; coordinate its associated simulation exercise and other business resiliency efforts.
• Support the pricing and execution of intercompany trades for bank funding

Required Qualifications, Skills, and Capabilities:

• Bachelors’ degree required
• 5+ years of full-time experience in Finance, Treasury. Funding, Payments, or Liquidity Risk Management.
• Strong knowledge of Python & SQL, combined with ability to construct meaningful narratives using data (experience with predictive modeling and/or time series forecasting is a plus),
• An organized self-starter and quick learner with the ability to work under pressure, prioritize multiple deliverables, and bring them to closure.
• Clear and concise written and verbal communication skills, with the ability to communicate effectively with partners across J.P. Morgan.
• Series 99 and SIE licenses preferred or must be obtained after joining team.
• Applicable Associated Person training and designation must be completed after joining the team.