The Senior Treasury Analyst will manage daily cash operations, liquidity forecasting, and FX transactions for EMEA entities. They will also support bank account lifecycle management, process automation, and ensure compliance with internal treasury policies and SOX requirements.
You will design and build production-ready front-end interfaces for an AI-native insurance platform, owning the entire process from exploration to shipping. You will collaborate with software engineers to create legible, data-rich workflows that empower underwriters to make informed decisions.
You will lead the end-to-end implementation of agentic MGA programs, translating complex insurance needs into clear technical requirements. You will manage project milestones, coordinate with engineering teams, and ensure successful program launches while maintaining high standards for quality and value.
The Senior Analyst will manage the end-to-end Solvency II reporting cycle, including QRT production, regulatory compliance, and capital calculations. They will also lead process modernization efforts by leveraging Tagetik and AI-driven automation to improve reporting efficiency and control frameworks.
You will own the end-to-end test automation strategy and roadmap, scaling the framework across enterprise systems like Salesforce and D365. Additionally, you will build specialized AI-driven QA agents to reduce manual toil and improve defect triage and regression analysis.
The US Assurance Specialist will lead and conduct reviews of MGAs, MGUs, and program administrators to ensure compliance with underwriting, financial, and regulatory standards. They will identify risks, provide actionable recommendations, and maintain strong relationships with internal and external stakeholders.
The Customer Success Director will manage day-to-day operations for captive insurance relationships, ensuring timely execution of reinsurance agreements and collateral establishment. They will also monitor portfolio performance and drive process improvements across legal, treasury, and finance teams.
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.
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.
