Senior Technical Business Analyst ( Banking experience)

The role is within the Financial Services industry, specifically in the Risk, Product Control and ESG IT department. The position is a Senior Technical Business Analyst / Consultant role supporting complex CTB change across Risk and/or Product Control platforms in a production-facing financial services environment. The duration of the engagement is 10–12 months and the location is fully remote.

• Extensive experience as a Senior Business Analyst, Technical Business Analyst, Solution Analyst, or Lead Analyst in a complex enterprise technology environment.
• Strong experience delivering CTB / Change-the-Bank initiatives across production-facing systems.
• Proven ability to work as a peer to senior developers, solution designers, and delivery leads with technical fluency to challenge and shape solutions.
• 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 warehouses, 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 within financial services or another regulated environment 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 initial scope definition to delivery and implementation.
• Work directly with senior engineers, solution designers, and delivery leads to translate business requirements into functional specifications, technical analysis, data mappings, interface requirements, and acceptance criteria.
• Analyse current-state and target-state business processes, system flows, data flows, controls, dependencies, and operational impacts.
• Produce high-quality 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 functional, regression, integration, reconciliation, UAT, performance, and operational-readiness testing.
• Support test planning, test case definition, test evidence, defect triage, business sign-off, implementation readiness, and post-release validation.
• Identify risks, issues, dependencies, and delivery blockers early, providing clear 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 while maintaining traceability from requirements through to delivery and testing.

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