Wrisk operates as FCA-authorized embedded insurance infrastructure for automotive manufacturers and financial services partners. The stack is AWS-heavy (Lambda, ECS, SNS) with deep analytics layers (Snowflake, BigQuery, dbt, Looker, Tableau, QuickSight) — typical of a regulated fintech managing high-volume data pipelines and compliance reporting. Current hiring momentum is accelerating across data (3 roles) and engineering (2 roles), with leadership gaps in compliance and operations, signaling active platform scaling and regulatory complexity as the business expands into new EU markets.
Notable leadership hires: Compliance Head
Wrisk is a London-based insurtech founded in 2016, operating as an independent embedded insurance technology platform dedicated to automotive OEMs. The company is FCA-authorized and acts as a technology partner to insurers and automotive brands, enabling them to launch, scale, and operate tailored insurance products. The business spans four countries with a 51–200 person team. Core capabilities center on regulatory-compliant insurance product deployment, multi-product cross-sell architecture, and localized global solutions. Wrisk's partner network includes major automotive OEMs and financial services institutions across Europe.
AWS (Lambda, ECS, SNS, core infrastructure), Snowflake and BigQuery (data warehouse), dbt and Fivetran/Airbyte (ETL), Looker/Tableau/QuickSight/Power BI (analytics), PostgreSQL, React, Python, TypeScript, Node.js, Terraform.
Machine learning pricing models, new product development and launches, regulatory compliance frameworks (FCA), analytics dashboards and data marts, insurance capacity provider network management, and EU market expansion.
Wrisk's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.