EquiRisk careers

The Problem: Unverifiable Risk Data
Insurers price risk and set coverage terms using incomplete, unreliable building and compliance data. Evidence is fragmented across multiple siloed sources and formats, forcing underwriters to apply premium loading for uncertainty.
● For Housing Associations: Higher premiums and more restrictive terms.
● For Insurers: Higher loss ratios and increased administrative costs.

The Solution: Underwriter-Ready, Verified Risk Data
● EquiRisk enables dynamic portfolio analysis by integrating housing associations’ asset management system data with other internal sources (compliance and safety records, claims and documentation) and cross-validating it against external datasets—creating a single, verified, audit-trailed risk view for underwriting.

● Submission-Grade Outputs: Clean Statements of Values (SoV), verified COPE data, and block-level risk flags with a full audit trail.

●Ask Quinn: Our in-platform AI underwriting agent identifies gaps, requests missing evidence, and generates outputs brokers and underwriters can use immediately. Post-launch, Ask Quinn extends into historic claims-pattern analysis and predictive portfolio modelling.

The Outcome: Precision Underwriting:
For Housing Associations: Reduced premium loading and improved terms.
For Insurers: Higher underwriting productivity, improved pricing adequacy, and sustainable portfolio profitability.

● MVP build underway with three post-graduate engineers from University of Edinburgh Informatics.
● Pilot active with a leading underwriter; in negotiations with housing associations.