Senior Business Analyst: Capital Markets + AI

Project description

We are seeking a Senior Business Domain Expert with 8+ years of experience to drive complex data- and AI- intensive solutions across Asset Valuation Business Domain. You will lead the team of Analysts, Software Architects and Developers in a transformation journey to structure and unite Valuation Models, AI/ML, Big Data ecosystems and Semantic Ontologies, for a new generation platform, leveraging business and technical expertise.

The ideal candidate brings prior hands‑on experience with various Asset Valuation business processes and solutions, as well as excellent communication skills.

• 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, 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.

• 8+ years of hands‑on experience in Asset Valuation or adjacent financial domains.
• Excellent stakeholder management, facilitation, and communication skills.
• Previous experience in capital markets as data/business analyst.
• Demonstrated expertise in 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.

• 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.