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Senior Business Analyst: Capital Markets experience
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Req. VR-121767
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.
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.
Must have
8+ years of hands-on Business Analysis experience in Capital Markets or adjacent financial domains.
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:
Capital Markets processes (trading, pricing, derivatives/fixed income, post-trade, regulatory).
Rating Agency workflows or credit assessment processes.
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.
Languages
English: C1 Advanced
Seniority
Senior
Hyderabad, IN, India
Req. VR-121767
Business Analysis
BCM Industry
23/03/2026
Req. VR-121767
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