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JPMorgan Liquidity & Account Solutions- Payments- Product Associate United States, New Jersey, Jersey City 68365446
23.11.2024
Job responsibilities
- Supports the development of our product strategy and roadmap
- Collects and analyzes metrics on product performance to inform decision-making
- Contributes to solution discovery through collaboration with cross-functional teams to identify potential solutions that address user needs and align with business goals
- Participates in product planning sessions, contributes ideas and insights, and assists in the execution of product initiatives, ensuring timely and successful product launches
- Collaborates with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value
- Engages closely with Product, Service, Sales, Operations, as well as Credit Risk to review and to implement enhancements to credit policy and end-to-end process of liquidity and credit exposure creation, utilization and monitoring
- Ensures proper product documentation where product usage incurs or creates liquidity and credit exposure
- Develops metrics and reporting framework for measuring and monitoring liquidity and credit exposure
- Develops and implements proper framework to monitor and address overdrafts and ensures ongoing adherence to the framework by cross-functional partners
Required qualifications, capabilities, and skills
- 2+ years of experience or equivalent expertise in product management, project management, or a relevant domain area
- Developing knowledge level of the product development life cycle
- Exposure to product life cycle activities including discovery and requirements definition
- Emerging knowledge of data analytics and data literacy
- An organized self-starter and quick learner with the ability to work under pressure, prioritize multiple projects, and bring projects to closure
Preferred qualifications, capabilities, and skills
- Prior Payments, Liquidity & Escrow knowledge and experience working with Technology beneficial
- Strong data and analytical skills, experience working with large datasets and/or modelling
- PowerPoint and Visio skills will be beneficial for the role
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