At a Glance
- Tasks: Design and deliver a proof-of-concept knowledge graph for investment fund data.
- Company: Join one of the world's largest asset managers in a dynamic role.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborate with top experts in financial services and enjoy excellent career advancement.
- Why this job: Make a real impact by automating fund data processes with cutting-edge technology.
- Qualifications: 5+ years of experience in RDF/OWL ontologies and strong SPARQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Knowledge Graph Engineer - Investment Data Ontology in London employer: 慨正橡扯
As a Knowledge Graph Engineer at one of the world's largest asset managers, you will be part of a dynamic and innovative team dedicated to transforming investment data management. The company fosters a collaborative work culture with access to leading experts in knowledge graph technology, providing ample opportunities for professional growth and development. With a focus on cutting-edge projects and a commitment to employee well-being, this role offers a unique chance to make a significant impact in the financial services sector while enjoying a supportive and engaging work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Graph Engineer - Investment Data Ontology in London
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We think you need these skills to ace Knowledge Graph Engineer - Investment Data Ontology in London
Some tips for your application 🫡
Show Off Your Expertise:In the world of investment and asset management, your CV should highlight relevant experience and your understanding of financial markets. Make sure to include specific projects you've managed, any funds you've worked with, and the returns on investments you've achieved. This is your chance to show potential clients what you're capable of!
Craft a Compelling Proposal:As a freelancer, your application isn’t just a CV—it's also a proposal. Clearly outline your services, your approach to investment strategies, and how you can add value. Include any unique methodologies or insights that set you apart. Remember, concrete examples of past successes can really strengthen your case.
Include Relevant Certifications:In investment asset management, certifications like CFA or CAIA can make a big difference. If you have these or other relevant qualifications, flaunt them on your CV! It shows you're serious about your expertise and gives clients confidence in your abilities.
Availability and Rates Matter:Since you’re freelancing, be upfront about your availability and rates in your application. Clients want to know they'll get the time they need. We suggest including a brief outline of your hourly rate or project fees at the end of your proposal, so there are no surprises down the line. Don’t hesitate to apply through our website where we can connect you with opportunities!
How to prepare for a job interview at 慨正橡扯
✨Showcase Your Analytical Skills
In investment asset management, analytical skills are key. Be ready to discuss how you've tackled complex financial analyses or market research in the past. If you have any case studies or portfolios demonstrating your investment strategies, whip those out – they can really impress!
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As a freelancer, you want to sell yourself and your services effectively. Prepare a concise pitch that outlines your unique strengths and the value you bring to the table. Tailor your messaging to how it aligns with the specific needs of 慨正橡扯 – they're looking for someone who not only knows their stuff but fits their approach too.
✨Be Ready for Technical Questions
Expect some tough nuts to crack! You might face technical questions on financial modelling, risk assessment, or specific investment vehicles. Brush up on current market trends and how they could affect portfolio performance. This shows you're not just a numbers person; you're someone who is on top of the game.
✨Understand Your Worth
Freelancing means you’ll likely have to discuss rates. Before your chat with 慨正橡扯, research industry standards for freelance asset managers. Be ready to articulate why your experience and expertise justify your rates – confidence here is key!
