£600 Per day
Inside
Remote
London
Summary: The Knowledge Graph Architect role focuses on designing and evolving enterprise knowledge graph capabilities within a banking environment. The position involves collaboration with various teams to ensure the knowledge graph platform meets banking standards and supports analytics, regulatory reporting, and AI-driven solutions. The successful candidate will be responsible for ontology design, data model definition, and ensuring the platform's security and scalability. This is a remote position offering a competitive daily rate.
Key Responsibilities:
- Define and maintain node types, relationship schemas, metadata standards, and versioning approaches for the enterprise knowledge graph.
- Govern and approve structural changes to the graph model, ensuring consistency, scalability, and alignment with enterprise architecture principles.
- Design graph retrieval patterns, semantic access models, and integration interfaces that support downstream AI, analytics, and operational banking use cases.
- Partner with data governance, compliance, and risk teams to ensure the knowledge graph supports regulatory, audit, and control requirements within the banking domain.
- Collaborate with domain experts across retail banking, commercial banking, payments, fraud, risk, and customer operations to translate business concepts into reusable graph structures.
- Establish standards for data lineage, master data alignment, entity resolution, and semantic interoperability across banking systems.
- Support solution design for graph-enabled use cases such as financial crime detection, customer 360, product discovery, operational resilience, and intelligent search.
- Provide technical leadership on performance, security, access controls, and deployment patterns for graph platforms operating in regulated environments.
Key Skills:
- Strong experience in Neo4j or similar graph database technologies, including schema and model design.
- Deep understanding of ontology engineering, semantic modelling, and knowledge representation techniques.
- Experience designing graph-based retrieval, Graph RAG patterns, and AI/agent integration architectures.
- Strong API and integration design skills, with experience connecting graph platforms to enterprise applications and data services.
- Good knowledge of banking data domains, including customer, account, transaction, product, risk, and compliance data.
- Experience working within regulated environments with strong awareness of data governance, information security, and audit expectations.
- Excellent stakeholder management, communication, and documentation skills with the ability to influence senior technical and business audiences.
Salary: £600 per day
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Knowledge Graph Architect - Banking Environment - Remote - £500 to £600 per day
We are seeking an experienced Knowledge Graph Architect to design, govern, and evolve enterprise knowledge graph capabilities within a banking environment. This role is responsible for shaping ontology design, defining canonical data models, and enabling trusted graph-based intelligence to support analytics, regulatory reporting, customer insights, risk management, and AI-driven solutions. The successful candidate will work closely with business, architecture, data, and engineering teams to ensure the knowledge graph platform is secure, scalable, and aligned to banking standards and controls.
Knowledge Graph Architect - Banking Environment - Remote - £500 to £600 per day
Key Responsibilities
- Define and maintain node types, relationship schemas, metadata standards, and versioning approaches for the enterprise knowledge graph.
- Govern and approve structural changes to the graph model, ensuring consistency, scalability, and alignment with enterprise architecture principles.
- Design graph retrieval patterns, semantic access models, and integration interfaces that support downstream AI, analytics, and operational banking use cases.
- Partner with data governance, compliance, and risk teams to ensure the knowledge graph supports regulatory, audit, and control requirements within the banking domain.
- Collaborate with domain experts across retail banking, commercial banking, payments, fraud, risk, and customer operations to translate business concepts into reusable graph structures.
- Establish standards for data lineage, master data alignment, entity resolution, and semantic interoperability across banking systems.
- Support solution design for graph-enabled use cases such as financial crime detection, customer 360, product discovery, operational resilience, and intelligent search.
- Provide technical leadership on performance, security, access controls, and deployment patterns for graph platforms operating in regulated environments.
Key Skills and Experience
- Strong experience in Neo4j or similar graph database technologies, including schema and model design.
- Deep understanding of ontology engineering, semantic modelling, and knowledge representation techniques.
- Experience designing graph-based retrieval, Graph RAG patterns, and AI/agent integration architectures.
- Strong API and integration design skills, with experience connecting graph platforms to enterprise applications and data services.
- Good knowledge of banking data domains, including customer, account, transaction, product, risk, and compliance data.
- Experience working within regulated environments with strong awareness of data governance, information security, and audit expectations.
- Excellent stakeholder management, communication, and documentation skills with the ability to influence senior technical and business audiences.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Management, Data Engineering, or a related field.
- Relevant certifications in graph technology, cloud, enterprise architecture, or data management are advantageous.
Banking Environment Requirements
The ideal candidate will have experience operating in large, complex financial services organisations and an understanding of the delivery, governance, and assurance expectations associated with regulated banking environments. Experience supporting initiatives related to risk, financial crime, customer data, or enterprise AI in banking will be highly beneficial.
What We Offer
This is an opportunity to shape a strategic data and AI capability within a banking organisation, working on high-value use cases with cross-functional teams. The role offers exposure to enterprise architecture, advanced data modelling, and innovation in a highly visible and impactful domain.
Knowledge Graph Architect - Banking Environment - Remote - £500 to £600 per day
This temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices
This role requires the successful candidate to undergo and be eligible for UK Security Vetting at SC/DV level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.
Due to the secure nature of the position and working environment, you must have, or be eligible to obtain Security Clearance
More details relating to UK Security Clearance can be found here:
United Kingdom Security Vetting: clearance levels - GOV.UK
List of national security vetting clearance levels with guidance on who requires clearance and what checks are completed.
Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.
Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.
Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.