The manager will lead strategic planning, budgeting, and financial analysis while partnering with cross-functional teams to provide actionable business insights. They are also responsible for supporting the monthly financial close and driving process improvements through the implementation of planning systems and AI tools.
The analyst will deliver catastrophe modelling and exposure analytics to support portfolio management, underwriting, and reinsurance strategies. They will also collaborate with internal and external stakeholders to improve data quality and automate modelling capabilities.
You will own the end-to-end machine learning platform, including data pipelines, training infrastructure, and deployment services. Additionally, you will lead a small engineering team and design integrations with internal and third-party systems to ensure reliable model performance.
Define and evolve the Accelerant Data Platform by gathering stakeholder requirements to deliver high-impact, AI-native data capabilities. Manage the product roadmap for data ingestion and consumption while collaborating with engineering and architecture teams to solve mission-critical business problems.
Develop and deploy production-ready ML and AI systems to optimize pricing, underwriting, and claims processes. Build end-to-end agentic workflows and measurement frameworks to improve business decision-making across the insurance value chain.
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.
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.
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.
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.
