Technical Business Analyst - Core Banking Guernsey

Business & Domain Analysis

Technical Analysis & Solution Design

• Convert business requirements into detailed technical requirements, including:

o API contracts (REST/JSON, event schemas)

o Data models and mappings

o Integration flows and sequencing

• Work closely with solution architects to:

o Validate architectural decisions

o Ensure alignment with target-state core banking architecture

o Core banking systems

o Payment engines

o Digital channels and middleware

o Data platforms and regulatory reporting systems

Delivery & Agile Collaboration

• Collaborate with Product Owners to refine epics, features, and user stories.
• Write clear, testable user stories with acceptance criteria that reflect both business and technical needs.
• Support sprint ceremonies (backlog refinement, sprint planning, demos).
• Clarify requirements for development teams during implementation and testing phases

o Legacy-to-target data mapping

o Validation rules

o Reconciliation logic

• Assist with defining cutover and transition requirements during core banking migrations.

Testing & Validation

• Define functional and integration test scenarios.
• Support SIT, UAT, and operational readiness testing.
• Validate that delivered solutions meet:
• Business requirements
• Regulatory obligations
• Non-functional requirements (performance, resilience, auditability)

Stakeholder & Vendor Engagement

o Business users

o IT and engineering teams

o External vendors (core banking providers, payment processors, system integrators)

Banking & Financial Services Experience

• 10 to 15 years' or more experience as a Business Analyst or Technical Business Analyst in financial services.
• Strong hands-on experience with core banking platforms (e.g., Temenos, Mambu, Thought Machine, Finacle, TCS BaNCS, Flexcube, or equivalent).
• Solid understanding of banking products and accounting principles.
• Experience supporting regulatory change and compliance-driven initiatives.

• Strong understanding of:

• Familiarity with cloud-based architectures (AWS, Azure, GCP) is highly desirable.
• Proficiency in using AI-enabled productivity tools, such as Copilot, to improve efficiency, generate insight and support decision-making. Applies critical thinking and sound judgement when interpreting outputs, remains accountable for the quality and accuracy of their work.

• Experience working in Agile / Scrum environments.
• Comfortable working in large-scale transformation or multi-year core banking programs.
• Strong documentation and communication skills.