- Min. 3 years of LLM, Machine Learning
- Top-tier Global Bank, 1 year renewable contract
Firmenprofil
This opportunity is with a large organization operating in the financial services industry. The company is well-established and known for its focus on innovation and delivering high-quality services to its clients.
Aufgabengebiet
- Define, refine, and maintain ontology structures (nodes, relationships, schemas) in collaboration with business stakeholders and subject matter experts (SMEs).
- Validate the accuracy and quality of data extracted from unstructured policy documents, ensuring alignment with business intent and regulatory standards.
- Perform manual and automated testing on knowledge graph structures to identify inconsistencies, redundancies, and logical errors.
- Serve as the key liaison between technical teams (Data Scientists/Engineers) and business stakeholders (Compliance, Risk, Operations).
- Translate technical constraints and data models into clear business requirements, and vice versa.
- Document data lineage, business rules, and data mapping requirements for ingestion processes.
- Develop and execute test plans for query languages (e.g., SPARQL, Cypher) to ensure accuracy and performance.
- Analyze query results to confirm consistency with source policy documents.
- Lead and coordinate User Acceptance Testing (UAT), incorporating SME feedback to continuously improve graph models and query functionality.
Anforderungsprofil
- Minimum 3 years of experience as a Technical Business Analyst, Data Analyst, or related role, preferably within financial services.
- Strong understanding of knowledge graph concepts, including ontologies, RDF/OWL, and property graphs.
- Proficiency in query languages such as SPARQL, Cypher, or SQL.
- Ability to interpret technical documentation, including data models and schemas.
- Experience analyzing and troubleshooting outputs from LLM-based data extraction processes.
- Knowledge of banking or financial policy documentation is highly preferred.
- Excellent communication skills with the ability to simplify complex technical concepts for non-technical stakeholders.
- Hands-on experience with graph database tools such as Protégé, GraphDB, Neo4j, or similar platforms.
- Strong analytical and problem-solving skills with a focus on data quality, integrity, and regulatory compliance.
- Ability to facilitate collaboration across technical and business teams with differing perspectives.
Vergütungspaket
- Competitive monthly salary
- Opportunity to work in a temporary position within a large organization.
- Exposure to innovative projects in the financial services industry.
- Collaborative and professional work environment.
Kontakt:
Referenznummer: JN-052026-7028068
