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.

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, 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.

Skills

Must have

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.

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.

Other

Languages

English: C1 Advanced

Seniority

Senior