Senior Business Analyst, Corporate Banking

Job description

Who are we? At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries. Disclaimer: Finastra has signed an agreement to sell its Universal Banking business to Pollen Street Capital, with completion expected end 2026 / early 2027, subject to consultation and customary closing conditions. Upon completion, this role is expected to transition to the standalone Universal Banking business, creating opportunities to support its future growth and success. About the Role We are building the next generation of corporate banking capabilities using a composable domain service approach, aligned to an agentic platform direction. This represents a shift away from monolithic core systems towards modular, domain-aligned, API-first services that can be delivered incrementally and progressively modernised. As a Senior Business Analyst for Corporate Banking (Cash & Liquidity), you will play a key role in shaping the domain knowledge, policy definitions, workflow logic and decision models that underpin intelligent banking capabilities. In an agentic platform world, many traditional BA activities, including requirements elaboration, story generation and test scenario creation, will be AI-assisted. The human role therefore shifts from managing artefacts to owning domain intelligence, decision frameworks, governance and measurable business outcomes. Working closely with Product Owners, Product Managers, architecture and engineering teams, you will translate complex cash and liquidity processes into clear business rules, reusable knowledge models and implementation-ready guidance that support scalable, reusable services and human-in-the-loop operating models. This role sits within the Corporate Banking Product Management function and supports delivery across foundational domains of the platform. Domain Scope You will support capabilities across cash and liquidity, including: • Nostro Management • Bank Limits • Notional Pooling • Credit Lines (liquidity context) • Cash Operations • Virtual Accounts These capabilities form the backbone of liquidity visibility, control, and operational processing within corporate banking. Knowledge of bilateral and syndicated lending would be beneficial but is not essential. Key Responsibilities Domain and Knowledge Modelling • Develop a strong understanding of end-to-end corporate banking business flows across cash and liquidity domains. • Model business concepts, domain entities, events, relationships and constraints in a way that can be reused across services and agentic workflows. • Capture domain knowledge in clear, structured forms that can support both human decision-making and AI-assisted delivery activities. • Identify gaps, dependencies, boundary conditions and opportunities for simplification or reuse across domain capabilities. Policy and Rule Definition • Define and maintain business rules, policies, validations, thresholds, exception paths and decision criteria across cash and liquidity processes. • Work with Product Owners and domain experts to ensure rules and policies are accurate, auditable and aligned to business outcomes. • Support governance of domain knowledge so that AI-assisted requirements, stories and test scenarios remain consistent with intended business behaviour. • Clarify business rationale behind decisions, rules and controls to support engineering, architecture and quality assurance. Workflow and Decision Design • Analyse current-state and target-state workflows, including operational hand-offs, decision points, exception handling and human-in-the-loop interventions. • Design clear workflow and decision models that describe how users, services and agents should interact across a business process. • Translate high-level product intent into structured process flows, decision logic, data expectations and functional outcomes. • Ensure workflow designs support scalable, reusable and domain-aligned service definitions. AI-Assisted Requirements and Delivery Readiness • Use AI-assisted approaches to accelerate elaboration of requirements, user stories, acceptance criteria and test scenarios, while retaining human accountability for accuracy and business intent. • Review, challenge and refine AI-generated artefacts to ensure they are complete, consistent, compliant and fit for engineering consumption. • Ensure traceability from domain goals, policies and business outcomes through to implementation and validation. • Assist in identifying and resolving functional defects, gaps or ambiguities by grounding decisions in documented domain knowledge and business rules. Collaboration and Governance • Work closely with Product Owners to refine backlog items, clarify decision frameworks and align priorities to domain outcomes. • Partner with engineering teams to clarify requirements, resolve ambiguities and support efficient delivery. • Support alignment with architecture, cross-domain dependencies, platform standards and agentic operating models. • Contribute to governance practices that ensure business knowledge, policies and decision logic remain transparent, explainable and reusable. What Success Looks Like • Clear, reusable domain and knowledge models that help teams understand how cash and liquidity capabilities should behave. • Well-defined business rules, policies, workflows and decision frameworks that reduce ambiguity for engineering teams. • AI-assisted delivery artefacts that are accurate, explainable and anchored in human-owned domain intelligence. • Strong alignment between business objectives, product priorities and delivered capability. • Effective collabor