Data Modeller (Financial Services)

Headline: Senior Data Modeller (Data Vault 2.0) | Investment Banking | Outside IR35

Location: Glasgow (Hybrid - 2 days onsite per week)

Duration: 6 months (Initial)

Status: Outside IR35

Sector: Investment Banking/Data Modernisation

Engagement Overview

Following a series of strategic consultations with the Chief Data Office (CDO) regarding their data modernisation roadmap, we have been engaged to secure a Senior Data Modeller for a high-impact transformation programme.

The project focuses on the migration of Legacy infrastructure to a modern cloud data platform, specifically addressing the design and delivery of scalable data models for post-bind insurance data. This role is critical in ensuring regulatory alignment, financial reconciliation, and operational reporting accuracy across multiple specialty lines.

Core Responsibilities

• Architectural Design: Lead the creation of conceptual, logical, and physical data models tailored for Snowflake ingestion.

• Methodology Leadership: Apply Data Vault 2.0 principles to ensure robust auditability, lineage tracking, and enterprise scalability.

• Cross-Functional Collaboration: Partner with Data Architects, Business Analysts, and Actuarial teams to translate complex business requirements into structured data assets.

• Domain Integration: Model data to support premium and claims reconciliation, aged debt tracking, and reserve movements.

• Governance: Document metadata and data dictionaries to maintain strict compliance with banking regulatory standards.

Technical Requirements & Experience

• Financial Services Expertise: Extensive experience as a Data Modeller within Investment Banking or the broader Financial Services market.

• Technical Proficiency: Demonstrable expertise in Data Vault 2.0 and dimensional modelling techniques.

• Platform Knowledge: Hands-on experience with Snowflake and cloud-native data architectures.

• Specialty Lines: Ability to model across diverse sectors such as marine, aviation, and cyber insurance.

• Stakeholder Management: Proven ability to engage with senior stakeholders across Finance, Operations, and the CDO.

Project Impact

The successful consultant will contribute to a broader data transformation initiative, ensuring the seamless integration of models into downstream analytics pipelines and driving measurable improvements in operational efficiency and regulatory reporting.

Application Process

If you possess the required expertise in Data Vault 2.0 and Snowflake within a banking context, please applycontact Christian directly for a confidential discussion regarding the programme roadmap.