Financial Systems Analyst I
American Express (company site, opens in a new tab)Gurugram, BengaluruHybridDirect career pageEst. 20–35 LPA
Posted on 3 Sept
Reach people at American Express
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at American Express you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end product delivery including vision, roadmap, backlog prioritization, lifecycle management for enterprise-scale AI/Agentic solutions in finance automation.
- Translate business challenges into scalable system designs involving data models, APIs, integrations, and non-functional requirements such as security and scalability.
- Collaborate with engineers and architects to design and integrate AI/ML and GenAI components into production workflows; lead Agile ceremonies and stakeholder engagement.
Minimum Requirements
- Experience working with AI/ML, GenAI tools, LLMs, and AI product lifecycles; familiarity with system design fundamentals.
- Proven experience in product development and delivery across full lifecycle in complex, large-scale environments.
- Strong skills in requirements gathering, user story authoring, and Agile methodologies (Scrum/Kanban); experience with Jira or Rally.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in fintech or banking/financial services domain, especially in AI-driven or data-driven transformations.
- Detail-oriented with a strong system-design instinct capable of balancing trade-offs in AI solution design across accuracy, latency, cost, and scalability.
- Collaborative operator able to communicate complex AI concepts and influence multiple cross-functional stakeholders in a fast-paced environment.