Case Study: LendInvest speeds loan processing and reduces risk with dbt Labs and Synq

LendInvest speeds loan processing and reduces risk with dbt Cloud and Synq

LendInvest, a London-based fintech and one of the UK’s largest non-bank mortgage lenders, needed a better way to manage data across its origination platform, servicing platform, and internal loan engine. As the business expanded into residential mortgages, its legacy MySQL warehouse, Python, and SQL scripts created data mismatches, poor lineage visibility, and slow troubleshooting—raising serious risk in a highly regulated environment. dbt Labs’ dbt Cloud became part of the modernization effort.

Using dbt Cloud and Synq, LendInvest built dbt models and custom tests to reconcile data across core systems, validate loans in near real time, and route alerts to the right teams based on severity. The result was an 11x reduction in data runtime, a 125% reduction in time to identify critical data issues, and dozens of issues detected proactively in near real time. dbt Labs helped LendInvest speed up debugging, improve auditability, and reduce regulatory risk while freeing the data team to focus on higher-value work.

LendInvest

Rupert Arup

Data Team Lead