At a glance
- Experience
- 8+ years experience
- Location
- Singapore
About Capco
- Capco, a Wipro company, is a global management and technology consultancy specialising in driving digital transformation across the financial services industry. Operating at the intersection of business and technology, Capco combines innovative thinking with unrivalled industry knowledge to fast-track initiatives for banking and payments, capital markets, wealth and asset management, and insurance. Our ingenuity is brought to life through our Innovation Labs, award-winning Be Yourself at Work culture, and a diverse, talented team across more than 30 offices worldwide.
About the role
- As a Knowledge Graph & Ontologies Specialist, you will lead the design and delivery of enterprise knowledge graph and semantic ontology solutions for Capco's financial services clients across Asia.
- Based in Singapore, you will serve as a senior practitioner and trusted advisor to insurers, wealth managers, private banks, and capital markets firms.
- This is a hands-on, client-facing role for someone who has built and deployed real-world knowledge graph solutions.
Responsibilities
- Lead the design, development, and delivery of enterprise knowledge graph architectures and domain ontologies for financial services clients.
- Define and govern ontological models representing complex financial data domains including insurance products, policy hierarchies, client entities, wealth portfolios, regulatory obligations, and counterparty relationships.
- Advise clients on the selection, configuration, and deployment of graph database and semantic technology platforms, including Stardog, Neo4j, AllegroGraph, GraphDB, and related tooling.
- Translate complex business requirements into formal ontological schemas, RDF/OWL models, and property graph structures appropriate to the use case.
- Collaborate with data architecture, AI/ML, and business intelligence teams to integrate knowledge graphs into broader enterprise data ecosystems, including data lakes, lakehouses, and AI pipelines.
- Conduct ontology reviews, maturity assessments, and gap analyses, providing clients with actionable roadmaps for knowledge graph adoption.
- Lead or support FIBO (Financial Industry Business Ontology) alignment, taxonomy development, and data governance initiatives.
- Drive the integration of knowledge graphs with large language model (LLM) and GenAI capabilities, including retrieval-augmented generation (RAG) architectures.
- Support business development activities including proposals, RFP responses, client workshops, and thought leadership publications.
- Mentor junior team members and play an active role in building Capco's knowledge graph practice and internal intellectual property across Asia.
Requirements
- Minimum 8 years of experience in data architecture, knowledge engineering, or a closely related discipline, with at least 5 years in financial services.
- Proven track record of delivering knowledge graph or ontology projects in commercial environments with demonstrable, referenceable outcomes.
- Strong understanding of insurance and/or wealth management data domains, including policy structures, client hierarchies, product taxonomies, regulatory reporting, and entity resolution.
- Excellent communication and presentation skills, with the ability to convey complex semantic concepts to both technical and non-technical audiences.
- Experience in management consulting, technology consultancy, or a senior in-house advisory role.
- Hands-on proficiency with one or more enterprise graph platforms: Stardog, Neo4j, Franz Inc. AllegroGraph, Ontotext GraphDB, or equivalent production-grade graph engines.
- Deep knowledge of semantic web and linked data standards: OWL, RDF, RDFS, SPARQL, SHACL, SKOS, and JSON-LD.
- Experience building, extending, or aligning domain ontologies.
- Solid understanding of both property graph and RDF triple-store paradigms, with the ability to select and justify the appropriate model for a given use case.
- Proficiency with ontology authoring environments such as Protégé, TopBraid Composer, or vendor-specific tools.
Preferred qualifications
- Experience working in or alongside a graph technology vendor, or a specialist semantic/ontology consultancy such as SemanticArts
- Experience with LLM and GenAI integration over knowledge graphs, including retrieval-augmented generation (RAG), knowledge graph embeddings, or GraphRAG patterns
- Exposure to CDMC, BCBS 239, MAS data governance requirements, or other regulatory data frameworks relevant to Asia-Pacific financial services
- Familiarity with master data management (MDM), data lineage, and data catalogue platforms
- Prior experience operating across Singapore and Hong Kong markets
- Secondary domain expertise in banking or capital markets
- Published thought leadership, conference presentations, or open-source contributions in the knowledge graph or semantic technology space
Benefits
- Ongoing learning and development opportunities to deepen your expertise and grow as a leader
Workplace
- Based in Singapore
Skills
- Stardog
- Neo4j
- AllegroGraph
- GraphDB
- OWL
- RDF
- RDFS
- SPARQL
- SHACL
- SKOS
- JSON-LD
- FIBO
Show all 15 skills
- Protégé
- TopBraid Composer
- GraphQL
