Knowledge Graph Engineer – Investment Data Ontology (London)

Company: Vanguard
Apply for the Knowledge Graph Engineer – Investment Data Ontology (London)
Location: London
Job Description:

Job Description

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role.

n

Project Contractor

n

Project Contractor

n

Summary n 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. n What You'll Deliver (POC Scope)n 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 n 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 n SKOS concept schemes harmonizing vocabulary across 8+ internal systems, providing a semantic bridge between source-of-record platforms n Data integration pipelines mapping relational data into RDF triples (Turtle/N-Quads) using R2RML, rdflib, or equivalent mapping tooling n API layer enabling downstream applications to consume graph data programmatically n Automated governance reports surfacing data quality gaps, missing identifiers, and cross-system inconsistencies n Required Skills n 5+ years hands-on experience building and deploying RDF/OWL ontologies in production (not solely academic — you have shipped something real)n SHACL for constraint validation, data quality enforcement, and shape-based governance n SPARQL 1.1 — fluent in complex queries, property paths, and federated queries n At least one enterprise triple store / graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent n Python or Java for data transformation, pipeline orchestration, and integration work n 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 n Working knowledge of data governance — you understand why constraints exist, not just how to code them n Preferred Experience n Financial services domain: fund data, securities master, regulatory compliance (MiFID, UCITS, listing rules)n FIBO (Financial Industry Business Ontology) or similar financial ontologies n TopBraid EDG / GraphWise (our target platform — evaluation input from this hire is welcome)n SKOS for vocabulary management and cross-system term harmonization n R2RML / RML or equivalent relational-to-RDF mapping standards n Ontology design patterns, modular schema design, ontology versioning (Git-based workflows)n Enterprise-scale data modeling (thousands of entities, multi-market, multi-product-type)n Exposure to rules engines, inference, or deterministic AI (SHACL-based reasoning, business rules automation)n Agile delivery in a regulated environment

n

How We Work

n

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Posted: July 13th, 2026