Senior Technical Business Analyst

The role is within the Financial Services industry, specifically in Risk, Product Control and ESG IT departments supporting complex CTB change across Risk and/or Product Control platforms in a financial services environment.

• Extensive experience as a Senior Business Analyst, Technical Business Analyst, Solution Analyst or Lead Analyst in complex enterprise technology environments.
• Strong experience delivering CTB / Change-the-Bank initiatives across production-facing systems.
• Ability to work as a peer with senior developers, solution designers and delivery leads with technical fluency.
• Experience translating complex business, regulatory, methodology or operational requirements into clear, structured, and testable delivery artefacts.
• Strong understanding of business processes, data flows, system integrations, controls, testing, and production-readiness activities.
• Strong data analysis skills including understanding data models, writing or interpreting SQL, validating data mappings, investigating data issues and supporting reconciliation.
• Good understanding of relational databases, data warehouse structures and reporting/data-consumption patterns.
• Good understanding of REST APIs, interface contracts, request/response structures, validation and error handling.
• Familiarity with messaging and event-driven architecture concepts such as publishers, consumers, queues, topics, retries, and message contracts.
• Ability to work with structured data formats such as JSON, XML and CSV.
• Ability to define non-functional requirements covering performance, resilience, security, auditability, monitoring, supportability and operational readiness.
• Strong stakeholder-management skills across business, technology, methodology, operations and delivery teams.
• Experience working in Agile, hybrid or structured SDLC environments using tools such as JIRA, Confluence, SharePoint or equivalent.
• Experience in financial services or regulated environments is highly desirable.

Nice to have:

• Experience within Risk IT, Product Control IT, regulatory technology, financial control, valuation, P&L, market risk, credit risk, or ESG.
• Familiarity with OpenShift, Kubernetes, containerised services or platform modernisation.
• Familiarity with development and delivery tooling such as Git/Bitbucket, Bamboo or equivalent.
• Practical understanding of AI-enabled analysis and productivity tooling.

• Lead business and technical analysis across Risk and/or Product Control change initiatives from scope definition to delivery.
• Translate business requirements into functional specifications, technical analysis, data mappings, interface requirements, and acceptance criteria.
• Analyse business processes, system flows, data flows, controls, dependencies, and operational impacts.
• Produce analysis artefacts including business requirements, functional specifications, user stories, acceptance criteria, data mappings, process flows, interface specifications, test scenarios, and implementation documentation.
• Work with developers to define clear, complete, prioritised, and testable backlog items.
• Analyse data requirements across relational databases, data warehouse components, document databases, reporting layers, upstream feeds, and downstream consumers.
• Support integration analysis across REST APIs, file transfers, enterprise data sources, messaging platforms, and event-driven components.
• Define and document business rules, calculation logic, validation rules, exception handling, reconciliation requirements, and audit/evidence expectations.
• Support various testing phases including functional, regression, integration, reconciliation, UAT, performance, and operational-readiness testing.
• Support test planning, defect triage, business sign-off, implementation readiness, and post-release validation.
• Identify risks, issues, dependencies, and blockers early; provide impacts, options and recommendations.
• Support migration, modernisation and platform-aligned change including data migration, API-led delivery, batch replacement, event-driven processing and production supportability.
• Work across multiple delivery streams maintaining traceability from requirements to delivery and testing.