JPMorgan Intraday Liquidity Product Management Associate 

United States, New York, New York 

699152554

Job Responsibilities:

• Support the Americas region and its book of work within the IDL Product application and management processes
• Drive enhancements to the IDL application through SDLC, agile prioritization, requirements gathering and sharing with technology, and testing
• Use analytical frameworks, data visualization, and data sourcing tools to help analyze and evaluate solutions to integrate within IDL application
• Access and manipulate large databases of payments data to perform analytical due diligence and help define requirements to technology
• Collaborate on the Intraday Liquidity management aspects related to oversight of USD balances, management of the USD Intraday Liquidity playbook and its simulation, as well as business resiliency.
• Collaborate with key stakeholders across the firm to ensure execution of effective controls managing intraday liquidity flows

Required Qualifications, Skills, and Capabilities:

• Bachelors’ degree required
• 1+ years of experience in finance, payments, treasury, product, or a fin-tech/start-up
• Experience with data analytics, SQL, Python, Tableau, Databricks or similar
• Strong MS Excel and MS PowerPoint Skills
• Quantitative and analytical skills, well adapted to working with and sourcing data, prioritizing attention to detail
• An organized self-starter and quick learner with the ability to work under pressure, prioritize multiple projects, and bring projects to closure
• Clear and concise written and verbal communication skills, with the ability to communicate effectively with partners across J.P. Morgan

Preferred Skills, and Capabilities:

• Working knowledge of SDLC and Agile
• Successful at solving complex problems at scale and enjoy working with global partners
• Intellectually curious and love to learn about new things
• Capable of approaching questions with scientific rigor, but can execute pragmatically
• Demonstrable experience with developing meaningful narratives around data