Accelerant

228 Total Employees
Year Founded: 2018

Similar Companies Hiring

Fintech • Information Technology • Insurance • Software
3 Offices
1100 Employees

Jobs at Accelerant

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

6 Days AgoSaved
Remote
United Kingdom
Insurance
The Operations Specialist will manage operational procedures, oversee underwriters, ensure compliance, handle financial reporting, and improve internal controls while communicating with various teams.
6 Days AgoSaved
Remote
United Kingdom
Insurance
The Operations Manager will oversee member onboarding, manage operational procedures, ensure compliance, resolve data queries, and improve processes in a fast-paced environment.
6 Days AgoSaved
Remote
United Kingdom
Insurance
The Operations Credit Control Manager is responsible for managing cash collections and debt management, improving credit control processes, and maintaining relationships with underwriters while overseeing an outsourced credit control team.
Insurance
As a Full Stack Software Engineer, you will design and build internal tooling for data observability, develop visualizations, and collaborate with data and business teams.
15 Days AgoSaved
Remote
2 Locations
Insurance
As a Senior Pricing Actuary, evaluate MGA opportunities for profitability, provide actuarial support, and collaborate with various teams to enhance services.
15 Days AgoSaved
Remote
2 Locations
Insurance
The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.
22 Days AgoSaved
Remote
2 Locations
Insurance
Lead a full-stack engineering team to deliver AI/GenAI-enabled SaaS features. Manage project delivery, Agile processes, stakeholder dependencies, team development, production reliability, and technical roadmap in partnership with architects and data science.
22 Days AgoSaved
Remote
2 Locations
Insurance
Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.