Knowledge Graph Engineer – Investment Data Ontology

Project Contractor

Contract role to design and deliver a proof‑of‑concept knowledge graph modeling investment fund data for one of the world’s largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine‑readable ontologies — directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly technical guidance from two of the most recognized knowledge graph practitioners in financial services.

What You’ll Deliver (POC Scope)

• An investment fund ontology (OWL 2 / RDF / Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed across US, UK, Ireland, Australia, Canada, and Mexico
• SHACL validation shapes encoding business rules as executable constraints — e.g., “A US-domiciled ETF listing must have a valid ISIN” — that flag violations at fund launch and throughout the fund lifecycle
• SKOS concept schemes harmonizing vocabulary across 8+ internal systems, providing a semantic bridge between source-of-record platforms
• Data integration pipelines mapping relational data into RDF triples (Turtle/N-Quads) using R2RML, rdflib, or equivalent mapping tooling
• API layer enabling downstream applications to consume graph data programmatically
• Automated governance reports surfacing data quality gaps, missing identifiers, and cross-system inconsistencies

Required Skills

• 5+ years hands‑on experience building and deploying RDF/OWL ontologies in production (not solely academic — you have shipped something real)
• SHACL for constraint validation, data quality enforcement, and shape‑based governance
• SPARQL 1.1 — fluent in complex queries, property paths, and federated queries
• At least one enterprise triple store / graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent
• Python or Java for data transformation, pipeline orchestration, and integration work
• Familiarity with financial or securities identifiers (ISIN, SEDOL, CUSIP, LEI, or similar instrument identification schemes) — you don’t need to be a fund accountant, but you need to understand what an identifier is and why it matters
• Working knowledge of data governance — you understand why constraints exist, not just how to code them

Preferred Experience

• Financial services domain: fund data, securities master, regulatory compliance (MiFID, UCITS, listing rules)
• FIBO (Financial Industry Business Ontology) or similar financial ontologies
• TopBraid EDG / GraphWise (our target platform — evaluation input from this hire is welcome)
• SKOS for vocabulary management and cross-system term harmonization
• R2RML / RML or equivalent relational‑to‑RDF mapping standards
• Ontology design patterns, modular schema design, ontology versioning (Git‑based workflows)
• Enterprise‑scale data modeling (thousands of entities, multi‑market, multi‑product‑type)
• Exposure to rules engines, inference, or deterministic AI (SHACL‑based reasoning, business rules automation)
• Agile delivery in a regulated environment

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