Knowledge Graph Engineer - Investment Data Ontology
Core
Design and deliver a proof-of-concept knowledge graph modeling investment fund data, encoding business rules and regulatory constraints as machine-readable ontologies to enable automated validation across thousands of funds.
Role type
Senior IC Knowledge Graph Engineer (Financial Ontology)
Builds
An investment fund ontology (OWL 2 / RDF / Linked Data) modeling product hierarchy and identifier relationships; SHACL validation shapes; SKOS concept schemes; data integration pipelines mapping relational data to RDF triples; API layer for graph consumption; automated governance reports.
Domain
Financial services / Investment management / Securities data
Deliverable
production ML models | product features
Required skills
RDF/OWL ontology design and deployment, SHACL constraint validation, SPARQL 1.1 complex queries, enterprise triple store management, Python or Java for data transformation, financial securities identifier knowledge, data governance principles.
Preferred skills
Financial services domain expertise (fund data, regulatory compliance), FIBO ontology familiarity, TopBraid EDG / GraphWise experience, SKOS vocabulary management, R2RML mapping standards, enterprise-scale data modeling, rules engines or deterministic AI exposure.
Technologies
OWL 2, RDF, Linked Data, SHACL, SPARQL 1.1, Turtle, N-Quads, R2RML, rdflib, TopBraid, GraphDB, Stardog, RDFox, Amazon Neptune, Python, Java, Git.
Responsibilities
Design investment fund ontology modeling product hierarchy and identifiers; Encode business rules and regulatory constraints as executable SHACL shapes; Harmonize vocabulary across internal systems using SKOS; Build data integration pipelines mapping relational data to RDF triples; Develop API layer for downstream graph data consumption; Generate automated governance reports for data quality gaps.
Seniority
Senior, hands-on IC
