Senior IT Analyst - Cards & Payments

We are looking for an experienced Senior IT Analyst to join a large-scale card transformation programme within an international financial organization.

The role covers end-to-end analysis across card processes, systems, integrations, data and card portfolios - from discovery and target solution design through development, testing and migration to post-implementation validation.

Responsibilities

• Lead end-to-end analysis across complex card transformation initiatives,
• Translate business objectives into clear business, functional and non-functional requirements,
• Own requirements quality and traceability throughout the full delivery lifecycle,
• Perform current-state, target-state, gap and impact analysis across processes, systems, integrations and data,
• Facilitate workshops with business, product, architecture, development, testing, operations and migration teams,
• Contribute to target solution design, considering architecture, security, regulatory requirements and Mastercard/Visa scheme requirements,
• Define acceptance criteria and support testing, defect clarification and migration readiness,
• Identify dependencies, assumptions, risks and requirement gaps and provide recommendations,
• Use AI/GenAI tools to support requirements analysis, documentation, refinement and quality reviews.

Requirements

• Minimum 5 years of experience as an IT / Business / System Analyst,
• Strong experience within banking and payments, preferably in the cards domain,
• Experience with card lifecycle, card servicing, card migrations and/or Mastercard/Visa requirements,
• Experience owning requirements end-to-end - from discovery through implementation and validation,
• Strong skills in business, functional and non-functional requirements analysis,
• Experience with gap analysis, impact analysis and target-state analysis,
• Ability to analyze complex changes involving multiple processes, systems, integrations and data,
• Experience facilitating workshops and working with cross-functional stakeholders,
• Very good command of English.

Nice to have

• Experience with SAFe,
• Practical use of AI/GenAI tools in analysis, documentation or requirements refinement.