Lead Solutions Analyst - Payments Technology

JPMorgan Chase & Co.

São Paulo

On-site

BRL 280,000 - 360,000

Full time

2 days ago
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Job summary

JP Morgan Chase & Co. in São Paulo, Brazil, seeks a Senior Solution Analyst in the Payments Domain within Corporate & Investment Banking.

You will review business requirements, articulate scope, and bridge product owners, business, operations, and software developers to deliver feasible solutions. You will translate complex needs into structured documentation, support cross-border and real-time payment initiatives, adhere to ISO CBPR+ standards, and drive data-informed decisions while

Qualifications

  • 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 required.
  • 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.
  • Ability to translate and document business needs into functional requirements and produce quality documentation.
  • Ability to drive multiple agenda and effectively manage priorities.
  • Proactive engagement with AI-assisted analyses while ensuring data handling compliance.

Responsibilities

  • Review business requirements and ensure the complete scope of business needs is articulated.
  • Perform detailed analysis and develop standard, reusable solutions.
  • Build functional solutions for ongoing Cross border and Real Time Payment initiatives and follow ISO CBPR+ standards.
  • Prepare interface mapping documents and static data to meet solutions and business requirements.
  • Review solutions and interface mapping documents with business and technology stakeholders to align with customer expectations.
  • Ensure overall quality of functional solutions and interface documents.
  • Assist the business with onboarding UAT including test case preparation and tracking.
  • Collaborate with BAs and team members to distribute work and meet targets.
  • Engage and build strong relationships with business and technology stakeholders.
  • Identify risks, plan mitigations, and communicate with stakeholders.
  • Promote reuse-first, AI-assisted practices with human validation.

Skills

Payments domain expertise
ISO 20022 MX messages
Cross-border payments
Stakeholder management
Analytical reasoning
AI-assisted analysis
Business-IT liaison
Requirements translation

Job description

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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