Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.
Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Role DescriptionThe Lead Analytics Engineer owns the design, delivery, and ongoing evolution of the Lending data product on GCP and Looker.
This role bridges analytics, data engineering, and business stakeholders to deliver scalable, well-governed data models that support reporting, decision-making, and emerging AI-driven use cases.
The role combines hands-on technical delivery, with leadership of an analytics engineering squad, setting standards for data modelling, validation, and usage across the Lending domain.
Principal AccountabilitiesData Product OwnershipOwn and evolve the Lending data model across BigQuery and LookerDeliver standardised, scalable data models (gold + semantic layers)Ensure data models accurately reflect lending business logic and requirementsDrive data quality, validation, and consistency across datasetsTechnical LeadershipDefine and implement best practices for analytics engineering (modelling, naming, documentation, testing)Lead design and code reviews across the analytics engineering workstreamAct as the subject matter expert on Lending data structures and behaviourDelivery & Workstream LeadershipLead the GCP and Looker data workstream, including sprint planning and prioritisationTranslate business.