- Work on cutting-edge AI and knowledge graph initiatives
- High-impact role supporting regulatory and policy intelligence
Our client is a large organization in the financial services industry, known for its global presence and commitment to innovation in technology. The company offers a collaborative and professional work environment, fostering growth and excellence.
Job Description
- Collaborate with business SMEs to define and refine banking policy ontologies
- Validate automated entity and relationship extraction from unstructured documents
- Test and review knowledge graph structures for accuracy and logical consistency
- Act as key liaison between data engineers, data scientists and business teams
- Translate technical graph constraints into clear business requirements
- Document data lineage, business rules and ingestion mappings
- Design and execute test cases for SPARQL, Cypher or SQL-based queries
- Analyse query outputs to ensure alignment with policy and regulatory intent
- Coordinate and facilitate UAT sessions with compliance and risk stakeholders
- Continuously improve data quality, integrity and regulatory compliance
- 3+ years' experience as a Data Analyst or Technical Business Analyst
- Solid understanding of Knowledge Graph concepts and ontology modelling
- Hands-on experience with SPARQL, Cypher or SQL query languages
- Ability to read and interpret data models, schemas and technical documentation
- Experience validating LLM outputs or extraction-related data issues
- Familiarity with banking or financial policy documentation
- Strong communication skills bridging technical and non-technical teams
- Experience with graph tools such as Neo4j, GraphDB or Protege preferred
- Detail-oriented mindset with strong analytical and problem-solving skills
- Competitive monthly salary and benefits package.
- Opportunity to work on a renewable contract in the financial services industry.
- Exposure to cutting-edge technologies within the banking sector.
- Collaborative and professional work environment in Kowloon.
Job ID JN-062026-7029208
Since our start as a two-man operation in London in 1976, Michael Page has grown and expanded globally. Now, after more than 40 years in the recruitme...
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