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Senior Solutions Analyst - Payments

JPMorgan Chase · jpmorganchase.com
Jersey CitySenior
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The job in short

Solutions analyst for payments.

Banking

Details

Found
16 d ago · posted 2026-07-24
Location as listed
Jersey City, NJ, United States
Role
Business Analyst
Source
The company’s own careers site

Full description

Lead the forefront of innovative solutions analysis in a dynamic tech environment, driving success through expertise in data analytics and technical program delivery. As a Senior Solution Analyst in the Payments Domain – Corporate & Investment Banking Business at JP Morgan Chase & Co., you review business requirements and ensure that the complete scope of business needs is articulated. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a Lead Solutions analyst, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery. Job responsibilities : • Review business requirements and make sure that requirements are captured are articulating the complete scope of business needs. • Perform detailed analysis on the requirements and come up with standard and re-usable solutions. • Build functional solutions which meets business requirements of ongoing Cross border and Real Time Payment initiatives and follow ISO CBPR+ standards. • Prepare detailed interface mapping documents and static data that meets all the solutions and business requirements. • Review the solutions and interface mapping documents with business and technology stake holders to make sure that they are aligned with customer expectations and business needs. • Ensure the overall quality of functional solutions, interface mapping documents are in-line with standard practices we follow across the program in the bank. • Assist the business with the onboarding UAT, including test cases preparation, planning, communication, and close tracking of activities. • Work proactively with fellow BAs and other team members, ensuring work is proportionally distributed and targets are met. • Proactively engage, manage and build strong relationships with both business and technology stakeholders. • Identify risks and issues early, plan mitigating steps and communicate these to business stakeholders in a timely manner. • Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards. Required qualifications, capabilities and skills: • 15 years of experience with at least 10 years as Solution Analyst in payments domain in corporate and investment banking is required. • Extensive experience in Cross Border Payments delivery across the markets is much needed for this role. • Extensive knowledge in ISO 20022 messaging and strong experience in MX messages is required. • Proven ability to work across business streams and have exposure to front to back system implementation. • Strong understanding of key technology concepts, business and technical architecture. • Ability to accurately translate and document business needs into functional requirements and produce quality documentation. • Ability to drive multiple agenda and effectively manage priorities. • Ability to work proactively, independently and displays strong initiative. • Pragmatic team player with an attention to detail. • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity • Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations

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