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Senior Data Modeller – Banking (Contract)
Location: London (Hybrid – 2 days onsite per week)
Rate: (Outside IR35)
Start Date: Immediate
Duration: Initial 6 months (extension likely)
Sector: Investment Banking
Engagement Context
Our client, a leading consultancy delivering strategic data transformation across the banking sector, is seeking a Senior Data Modeller to support a high-impact programme focused on post-bind insurance data. The successful candidate will play a critical role in designing scalable, compliant data models that underpin operational reporting, financial reconciliation, and regulatory alignment across multiple specialty lines.
Key Responsibilities
Lead the design and delivery of conceptual, logical, and physical data models across post-bind domains
Collaborate with data architects, business analysts, and actuarial teams to translate complex business requirements into structured data assets
Apply Data Vault 2.0 methodology to support auditability, scalability, and lineage tracking
Model data for ingestion into Snowflake, ensuring compatibility with cloud-native architecture and downstream analytics
Ensure models support reconciliation of premium and claims, aged debt tracking, reserve movements, and regulatory reporting
Document metadata, data dictionaries, and lineage to support governance and compliance
Engage with stakeholders across finance, operations, and claims to validate model assumptions and ensure business alignment
Required Experience & Skills
Extensive experience as a Data Modeller within the FS Market, with demonstrable expertise in data
Proficiency in Data Vault 2.0 and dimensional modelling techniques
Hands-on experience with Snowflake and cloud-based data platforms
Ability to model across multiple specialty lines (e.g., marine, aviation, cyber)
Strong stakeholder engagement and documentation skills
Clear documentation and stakeholder alignment across finance, operations, and actuarial domains
Seamless integration of models into Snowflake and downstream analytics pipelines
Contribution to a broader data transformation programme with measurable impact on operational efficiency and regulatory compliance
