Drive the reliability and observability strategy for the financial data platform, establishing SLOs and error budgets across multiple enterprise systems. Build AI-assisted operational tooling and agents to automate incident triage and reduce operational toil.
Accelerant
12 Remote Job Openings at Accelerant
Design and manage secure, scalable cloud infrastructure across Azure and AWS, focusing on containerized applications and AI-driven platforms. Lead complex technology projects from concept to delivery while ensuring operational excellence and security compliance.
Underwrite complex loss sensitive and captive insurance structures for middle market and national accounts. Manage a profitable book of business while building broker relationships and developing admitted and non-admitted insurance products.
Copy of Business Engagement Lead - Finance Operations
Accelerant
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Full Time
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2 months ago
Accelerant
The Business Engagement Lead will serve as the primary bridge between Finance leadership and Technology, ensuring alignment of business priorities and technology strategies. This role is accountable for capturing business needs, guiding product roadmaps, and ensuring solutions meet business outcomes.
Lead the analytics and oversight of exposure data ingestion, transformation, and normalization to understand risk patterns and data quality. Collaborate with cross-functional teams to enable downstream modeling, reporting, and catastrophe analytics.
Embedded within delivery teams to provide real-time engineering rigor, reviewing technical decisions and code to ensure enterprise scalability. Bridges the gap between business-built AI capabilities and production-ready software through integration design and data governance.
You will develop new frontend and backend features while collaborating with cross-functional teams to deliver high-quality software solutions. The role involves writing unit-tested Typescript backend code and optimizing Svelte frontend components for scalability and performance.
The AI Platform Engineer is responsible for building production AI agents and reusable AI components while collaborating across various teams. They also contribute to AI standards and maintain reference implementations.
This role provides hands-on, operational architectural leadership for the Insights, Analytics & Workflows product area, ensuring architectural alignment across multiple autonomous product teams. Key duties include proactively identifying architectural gaps, managing cross-team dependencies, and defining architectural patterns for backend services, APIs, and data platforms.
The Data Product Analyst is responsible for the design, delivery, and evolution of insurance domain data products within a data mesh model, focusing on areas like Reserving and Reinsurance for 2026. This involves acting as a domain design authority to ensure data products are semantically correct, analytically fit for purpose, and compliant with requirements.
The Senior Actuary will evaluate and price new MGA opportunities to ensure profitability targets are met, while also developing necessary rate level and rating algorithm changes. They will also provide ongoing actuarial support to a panel of existing Member MGAs to maintain continued profitability.
The Data Engineer will be central to constructing and optimizing the robust data platform that drives the SaaS platform, internal analytics, and operational systems. Key tasks include designing and building modern data pipelines, supporting AI/ML infrastructure, and transforming complex datasets.