emagine

Senior Technical Business Analyst

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SeniorZdalnieFull-time

#443827·Dodano miesiąc temu·0

Źródło: emagine

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Tech Stack / Keywords

JSONXMLCSVSQL REST API JIRA ConfluenceSharePointOpenShift Kubernetes

Firma i stanowisko

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.

Wymagania

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.

Obowiązki

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.

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