Senior Business Analyst: Capital Markets experience

Project description

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 Asset Valuation, Portfolio Management and Private Equity. You will lead and structure AI/ML requirements and work with big data ecosystems and semantic knowledge modeling (ontologies, RDF/OWL, SPARQL). 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.

Responsibilities

• Business Analysis & 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) for Asset Valuation platform.
• 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.

SKILLS

Must have

• 8+ years of hands-on Business Analysis experience in Capital Markets or adjacent financial domains.
• solid business domain knowledge in Private Equity/Valuations.
• Excellent stakeholder management, facilitation, and communication skills.
• Previous industry experience as a QA Engineer or Software Developer. Ability to speak developers' language.
• Demonstrated expertise in: o Capital Markets processes (trading, pricing, derivatives/fixed income, post-trade, regulatory). o Rating Agency workflows or credit assessment processes. o Valuation requirements (pricing inputs, curves, model outputs, controls).
• Strong modeling and documentation skills: user stories, use cases, acceptance criteria, BPMN/UML, data mapping, interface specs.
• Big data environments and large-scale analytical workflows.
• Agile/Scrum delivery experience.

Nice to have

• Ontologies, RDF/OWL, and semantic frameworks; ability to query with SPARQL. • Experience with knowledge graphs, triple stores, or graph databases. • Exposure to model risk management, explainable AI, and responsible AI principles. • Familiarity with market data providers, pricing libraries, risk engines, or regulatory reporting platforms.