Data Model Ontologist | Banking

📋 Description

• Design and maintain ontologies and semantic models for banking
• Translate policies into machine-readable knowledge graphs
• Define entities, relationships, vocabularies, and rules
• Build structured representations of business rules (YAML/JSON)
• Collaborate with data and AI engineers to integrate models

🎯 Requirements

• 6+ years in data ontology modeling in Financial Services
• Hands-on semantic tech: RDF, OWL, SKOS, SPARQL, Turtle
• Strong data/ontology modeling: hierarchies, vocabularies, rules
• Knowledge graphs and graph platforms (Neo4j, GraphDB, Stardog, Neptune)
• Proficiency in YAML for rule definition and schema modeling
• Familiarity with LLM systems, agentic AI, RAG; Python/automation a plus

🎁 Benefits

• Engaging projects with some of the world's largest banks
• Transform the financial services industry
• Grow a APAC-focused data practice