Ontology FDO
Core
Design, develop, and implement enterprise knowledge graphs and semantic data solutions to improve data discovery, integration, governance, and analytics in a financial-services environment.
Role type
Senior IC Graph Engineer / Ontologist
Builds
Scalable graph-based solutions, ontologies, taxonomies, and semantic information models
Domain
Financial services + Semantic Web / Knowledge Graphs
Deliverable
production ML models
Required skills
Graph engineering, Ontology development, Semantic modelling, RDF/OWL/SKOS/SHACL/SPARQL, Graph databases (Neo4j/Neptune/Stardog/GraphDB), Cypher, Python/Java/Scala, Data integration/ETL, Data modelling principles
Preferred skills
Banking/financial services domain knowledge, FIBO/ISO 20022/LEI standards, Data lineage/metadata management, Cloud platforms/CI/CD, Entity resolution/NLP/Graph-based AI, Agile delivery practices
Technologies
RDF, RDF-star, OWL, SKOS, SHACL, SPARQL, Neo4j, Amazon Neptune, Stardog, GraphDB, AllegroGraph, Cypher, Python, Java, Scala
Responsibilities
Design and develop knowledge graphs, ontologies, taxonomies, and semantic information models; Translate business and regulatory requirements into formal graph specifications; Define entities, relationships, attributes, constraints, and semantic rules; Build data-mapping and ingestion processes from relational databases, APIs, and documents; Integrate graph solutions with data platforms and analytical applications; Establish ontology governance including versioning and lifecycle management; Develop validation rules and quality controls for graph data; Write and optimize graph queries and data-transformation pipelines; Produce technical documentation and modelling guidelines
Seniority
Senior, hands-on IC
