Senior Business Analyst: Capital Markets experience @ Luxoft

We are seeking a Senior Business Analyst with 8+ years of experience to drive requirements for complex data- and AI- intensive solutions across Capital Markets domain, including Market Data, Asset Valuation, Trade Lifecycle, and CLM. You will lead and structure AI/ML requirements and work with big data ecosystems and semantic knowledge modeling (ontologies, RDF/OWL, SPARQL).The ideal candidate also brings prior hands-on experience as a QA Engineer or Software Developer as well as excellent communication skills.You''ll partner with business stakeholders, architects, data scientists, and engineering teams to define end-to-end requirements that are testable, scalable, and ready for delivery.

• Lead the full requirements lifecycle: elicitation, analysis, documentation, prioritization, validation, and sign-off.
• Translate business objectives into user stories, use cases, acceptance criteria, process models (BPMN/UML), data mappings, and interface specifications.
• Maintain traceability across business requirements, functional specs, test artefacts, and releases.
• Facilitate backlog refinement, sprint planning, and UAT with measurable acceptance criteria.
• Frame business cases for AI/ML features (NLP-based automation, decision support, predictive scoring, anomaly detection) for Market Data, Asset Valuation, Risk, Regulatory, Trade Lifecycle and Client Lifecycle Management platforms.
• Define data readiness, model inputs/outputs, explainability needs, quality metrics, and human-in-the-loop review processes.
• Work closely with ML engineers and data scientists to align model assumptions and acceptance criteria with business value.
• Partner with data engineering teams on big data pipelines, batch/stream processing, and data quality requirements.
• Design semantic models/ontologies (RDF/OWL), define vocabularies/taxonomies, and capture lineage/metadata needs.
• Write or validate SPARQL queries for data discovery, impact analysis, and functional validation.

Stakeholder & Governance

• Actively engage in workshops with trading, risk, compliance, operations, and technology stakeholders to align on outcomes and priorities.
• Contribute to governance, change management, risk assessments, and controls.
• Produce high-quality documentation in Confluence (or equivalent) and maintain living artefacts.
• Facilitate or contribute to aligning requirements with parallel delivery streams.