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 collaboration with Product Owners, engineering, architecture and domain experts. 

• Measurable contribution to the delivery of cash and liquidity capabilities and to the broader agentic platform direction. 

Skills & Experience 

Essential 

• Proven experience as a Business Analyst in banking, financial services or a comparable enterprise software environment. 

• Strong understanding of one or more of cash management, liquidity management, payments, transaction banking or corporate banking operations. 

• Ability to understand and describe end-to-end business domain flows, including data, process, policy, decisioning and exception handling. 

• Experience defining business rules, policies, workflows, process models, data expectations and functional outcomes. 

• Strong analytical thinking, structured problem-solving and ability to turn complexity into clear, actionable guidance. 

• Experience working in agile delivery environments and collaborating closely with product, engineering and architecture teams. 

• Comfortable using AI-assisted techniques to accelerate analysis and delivery activities, while applying strong judgement and domain ownership. 

Desirable 

• Experience with corporate banking or core banking platforms. 

• Familiarity with API-based, event-driven or cloud-native architectures. 

• Exposure to liquidity structures such as notional pooling or intraday liquidity. 

• Understanding of operational workflows in cash processing environments. 

• Exposure to knowledge modelling, decision modelling, rules engines, agentic workflows or human-in-the-loop operating models. 

• Knowledge of bilateral or syndicated lending in a liquidity or corporate banking context 

Working Model 

You will work as part of a domain-aligned product team alongside: 

• Product Manager – Corporate Banking 

• Product Owner – Cash & Liquidity 

• Engineering squads delivering domain services 

• Architecture, quality and domain subject matter experts 

The role requires close, continuous collaboration across product, engineering, architecture and domain specialists, with a strong emphasis on clarity, governance and delivery readiness. 

Our Approach 

We are building using a composable domain service model: 

• Domain-aligned, modular service architecture 

• API-first and event-driven design 

• Cloud-native deployment 

• Incremental delivery of business capability 

• Human-owned domain intelligence, rules, policies and decision frameworks 

• AI-assisted requirements, story and test scenario generation under appropriate governance 

This enables banks to progressively modernise their platforms without large-scale core replacement, while allowing product teams to focus more strongly on business outcomes, explainable decisions and reusable domain knowledge. 

Why Join 

• Opportunity to help define core banking capabilities from the ground up. 

• Work on high-impact cash and liquidity use cases that sit at the heart of corporate banking. 

• Be part of a strategic shift towards domain-led, composable and agentic banking architecture. 

• Help shape how domain intelligence, policies and decision frameworks are used within a modern banking platform. 

• Collaborate with experienced product, engineering, architecture and domain experts.