Jobs at Accelerant

Manage daily cash positions, cash-flow forecasting, liquidity, money-market trades, FX transactions, payments, reconciliations, and banking operations for EMEA entities. Support account openings, closures, mandates, TMS integrations, SOX documentation, compliance, and process improvements. Collaborate with treasury teams, banks, internal stakeholders, and US colleagues while contributing to broader treasury initiatives.

Design and build AI-native insurance product experiences from research and prototyping through production front-end delivery. The role focuses on data-rich, high-stakes interfaces for underwriters, including submission triage, confidence and citation patterns, appetite insights, and pricing workflows. Responsibilities include shaping ambiguous problems, validating with users, collaborating with software engineers, applying AI throughout the development cycle, and ensuring performance, accessibility, responsiveness, and design-system consistency. Specialty insurance experience on the pre-bind side is required.

Supports portfolio operations for a data-driven specialty insurance risk exchange. The provided description does not include specific responsibilities, qualifications, technologies, compensation, or travel requirements.

Own end-to-end Solvency II reporting, including QRT production, PRA/EIOPA regulatory compliance, SCR calculations, data lineage, audit controls, Tagetik automation, and process improvement. The role partners with actuarial, finance, data, and business teams, leads stakeholder forums, manages regulatory change, and advocates for AI-enabled improvements.

Own the enterprise test automation strategy, scale a Playwright and JavaScript framework, expand coverage across Salesforce, MuleSoft, D365, and reporting systems, and build scalable execution and reporting infrastructure. Design QA standards, metrics, and review processes while developing AI-powered agents with Cursor for performance testing, regression analysis, and defect triage. Partner with engineering, product, business, and AI platform teams to deliver governed, reusable quality tooling.

Leads and performs assurance reviews of insurance members, evaluating underwriting, documentation, compliance, reporting, financial activities, rates, forms, and policy files. Identifies risks, recommends corrective actions, monitors remediation, analyzes data for sampling, reviews premium trust transactions, and tracks insurance regulatory changes. The role also supports review methodology development and maintains relationships with members and senior management.

Owns day-to-day captive insurance relationships and end-to-end operational execution after deals bind. Responsibilities include coordinating reinsurance agreements, establishing trusts and letters of credit, monitoring premiums and loss settlements, onboarding captives, supporting regulatory and domicile requirements, resolving operational issues, reporting portfolio performance, and improving scalable processes across Legal, Treasury, Operations, Actuarial, and Finance.

Leads strategic planning, budgeting, forecasting, and financial analysis for the risk exchange platform. Partners with finance, accounting, actuarial, and distribution teams; analyzes operational and insurance results; prepares management reporting; supports monthly close; and presents insights to senior leadership. Drives Pigment planning-platform adoption and improves FP&A processes through AI, automation, documentation, and digital tools.

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.

Manage onboarding, policy administration, and bordereaux workflows; ensure data integrity and SLA adherence; produce reports using Snowflake, Power BI, and Excel; collaborate cross-functionally to document SOPs and implement process improvements.

Design, build, and operate scalable web applications, APIs, services, and AI-enabled workflows. Use AI tools across the development lifecycle, ensure reliability, performance, and observability, contribute to technical decisions, iterate from user feedback, and own production quality and delivery as part of cross-functional squads.

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

Lead discovery, roadmap, and delivery of data platform capabilities for the Accelerant Risk Exchange. Define strategy, prioritize ingestion/consumption features, collaborate with stakeholders and engineering, champion AI-native experimentation, and communicate outcomes to internal and external partners.

Build and validate production-grade ML and AI systems across pricing, underwriting, claims, and portfolio management. Work with structured and unstructured data, LLMs and agentic workflows, extract information from documents, resolve entities, create feature pipelines and inference services, quantify uncertainty, monitor drift, and measure business impact in collaboration with engineers, actuaries, underwriters, and product teams.

Lead and own ML platform end-to-end: data/feature pipelines, training and inference infrastructure, model registry, deployment, monitoring, and agentic AI stack. Design integrations across teams and third parties, ensure reproducibility, reliability, cost control, governance and audit trails, and grow a small engineering function supporting data scientists.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

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

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