Jobs at Accelerant

The Full Stack Software Engineer will develop frontend and backend features, collaborating with engineers and product managers to meet project requirements while ensuring high-quality code.

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

The Insurance Regulatory Paralegal will assist attorneys with legal documents, conduct research, manage files, and prepare regulatory filings while monitoring legislation affecting the business.

The Operations Specialist will manage operational procedures, oversee underwriters, ensure compliance, handle financial reporting, and improve internal controls while communicating with various teams.

The Operations Manager will oversee member onboarding, manage operational procedures, ensure compliance, resolve data queries, and improve processes in a fast-paced environment.

The Business Engagement Lead - Finance Operations ensures alignment between Finance and Technology, overseeing business requirements, product roadmaps, and stakeholder engagement while monitoring outcomes and driving technology investments to match business goals.

The Exposure Data Manager leads analytics to understand exposure patterns, enforces data standards, ensures data quality, and collaborates across departments for effective exposure management.

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.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

As a Senior Pricing Actuary, evaluate MGA opportunities for profitability, provide actuarial support, and collaborate with various teams to enhance services.

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.

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.

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.