About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 439 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 233 roles with salary data.

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At a glance

TL;DR · Ontology Knowledge Engineer

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Join Chase's Data and Analytics Office as an Ontology and Knowledge Graph Engineer, a senior role within the Predictive Science team. You will curate semantic data assets to connect enterprise data to a shared knowledge graph, authoring logical data model ontologies and designing mapping assets that integrate diverse data sources like relational databases and REST APIs into a coherent structure. Your responsibilities include maintaining semantic taxonomy structures, enabling virtual knowledge graph capabilities, and engaging with cross-functional teams to ensure alignment between ontology design and business requirements. Essential skills include expertise in formal knowledge representation, data mapping concepts, and experience working with semantic web technologies and linked data systems. This role offers the chance to contribute to enterprise AI and analytics at a leading financial institution, addressing complex challenges through precise and scalable solutions.

Skills

SemanticWeb KnowledgeGraph OntologyDevelopment LinkedData ClassHierarchies PropertyDefinitions LogicalConstraints SchemaDefinitionLanguages RelationalDatabases RESTAPIs VirtualKnowledgeGraph ReasoningFrameworks UpperOntologies ControlledVocabularies DataMapping RealTimeStreamingPlatforms VersioningStrategies

What you'll do

Author logical data model ontologies to represent enterprise data across the organization.
Design and maintain knowledge graph mapping assets for various data sources.
Curate semantic taxonomy structures using controlled vocabularies for consistent concept representation.
Contribute to the governance of upper ontologies and semantic taxonomies for standardized use cases.
Enable virtual knowledge graph capabilities by supporting on-the-fly materialization without physical data movement.
Translate complex business requirements into formal semantic representations accessible to non-technical stakeholders.

What we're looking for

At least 1 year of professional experience in semantic web technologies or knowledge graph engineering.
Strong understanding of formal knowledge representation principles and ontology development.
Experience authoring ontologies and mapping assets for enterprise data integration.
Familiarity with virtual knowledge graphs and real-time data streaming platforms.
Ability to translate complex business requirements into formal semantic models.
Hands-on experience in designing and maintaining upper ontologies and semantic taxonomies.
Participation in ontology governance activities, including version control and cross-domain alignment.