Wrisk runs a white-label, embedded car insurance platform that OEM brands and insurers use to launch regulated motor products. Its stack pairs Kotlin, TypeScript and React on AWS (Lambda, ECS, SNS) with Terraform, alongside an unusually wide BI layer: Snowflake, BigQuery, Redshift, Looker, Tableau and Power BI. Accelerating, support-heavy hiring in Germany and India, plus a Commercial Director search, points to EU expansion of its PaaS model.
Notable leadership hires: Commercial Director
Wrisk is a London-based insurtech founded in 2016 that provides an embedded insurance technology platform built specifically for the automotive OEM sector. It works with car manufacturers, their financial services arms and insurers to launch, run and scale branded motor insurance products tailored to local markets. The company is FCA-authorised and designs its products for multi-line offerings and cross-selling. Wrisk is privately held, employs 51–200 people and has staff across several countries, with current hiring in the United Kingdom, Germany and India.
Wrisk builds on Kotlin, TypeScript, React, Node.js and Python, running on AWS (Lambda, ECS, SNS) with Terraform and Docker. Data runs through dbt, Fivetran and Airbyte into Snowflake, BigQuery and Redshift, with Looker and Tableau.
Wrisk is hiring in the United Kingdom, Germany and India, with demand weighted toward support roles alongside engineering, finance, data, ops and a Commercial Director position. Hiring velocity is accelerating.
Job posts point to custom partner setup and theming, cloud deployment of white-labeled insurance solutions, developing its PaaS commercial model and go-to-market approach, and building core platform services on AWS Lambda.
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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.
