Jobs at Verisk

Develop predictive models and AI solutions for insurance claims and underwriting. Responsibilities include data cleaning, feature engineering, statistical modeling, machine learning, agentic AI workflow development, model testing and monitoring, stakeholder collaboration, documentation, peer review, and communicating findings to technical and non-technical audiences.

Owns post-sale commercial relationships for the FAST platform, serving as the executive customer contact and driving renewals, expansion, adoption, and revenue growth. Responsibilities include account planning, executive governance, customer launches, value realization, forecasting, commercial negotiations, cross-functional coordination, barrier resolution, and market support. The role requires strong insurance industry knowledge, executive presence, technology transformation skills, and 10+ years of customer-facing or consulting experience.

Performs catastrophe risk and loss analyses supporting catastrophe bonds and insurance-linked securities transactions. Produces risk reports, supports investor presentations, reviews transaction documents, maintains analytical databases and tools, provides client troubleshooting and event support, and leads training sessions. The role combines financial analytics, catastrophe modeling, reinsurance expertise, and client-facing service.

Build and operate AWS and Kubernetes production platforms, develop Terraform and OpenTofu infrastructure patterns, automate with Ansible, and improve CI/CD, observability, security, governance, and developer self-service. The role investigates complex platform issues, supports AI technology adoption, strengthens operational reliability, mentors engineers, and influences engineering standards across teams.

Analyze catastrophic insurance claims data and validate financial and uncertainty models using statistical methods, simulations, and code in R or C++. Document methodologies, assess model accuracy, create visualizations and presentations, and communicate technical findings to internal and client-facing teams. The role focuses on catastrophe risk, probability, insurance concepts, and quantitative modeling.

Owns and improves enterprise Linux infrastructure across on-premises and cloud environments. Responsibilities include automating deployments with Ansible, building reliability tools, designing CI/CD pipelines, writing scripts and code, troubleshooting complex production issues, supporting HPC compute and storage environments, and participating in maintenance and incident response.

Sources strategic and hard-to-fill talent across APAC while managing recruiting operations. Responsibilities include building talent pipelines, conducting market research, coordinating interviews, maintaining Oracle Recruiting data quality, governing processes, supporting recruiting technology and AI workflow adoption, producing reports, and partnering with regional recruiters, TA leads, hiring managers, and global TA enablement teams.

Design and deploy production-grade generative AI and agentic AI applications. Build Python full-stack systems, LLM-powered solutions, RAG workflows, AI agents, APIs, microservices, and database integrations. Deploy cloud-native applications on AWS while establishing evaluation, monitoring, guardrails, governance, security, and performance practices. Collaborate with cross-functional teams to deliver reliable AI products and maintain high standards for code quality and documentation.

Build and maintain scalable full-stack software for life insurance products. Own customer implementation stories end to end, develop front-end and back-end features, design RESTful APIs, optimize application performance, and support deployment. Collaborate in an agile team with designers and engineers while maintaining code quality, testing standards, uptime, and scalability across .NET, Angular or React, JavaScript, SQL Server, and PostgreSQL technologies.

Design accessible, intuitive web and mobile product experiences from concept through delivery. Responsibilities include creating user flows, wireframes, prototypes, and high-fidelity designs; supporting user research and usability testing; applying design systems and WCAG principles; collaborating with product managers, engineers, researchers, customers, and subject-matter experts; participating in design reviews; and documenting reusable patterns. The role also involves using AI-assisted tools responsibly for ideation, prototyping, research synthesis, and documentation.

Perform end-to-end GIS production, including digitization, geospatial data editing, attribution, georeferencing, dataset cleaning, quality control, imagery interpretation, elevation-data processing, and map preparation. Manage vector and raster datasets while following metadata and documentation standards. Support workflow automation using Python, ArcPy, GDAL, ModelBuilder, QGIS tools, and AI-assisted scripting. Required experience includes GIS or remote sensing, proficiency with GIS software, geospatial data concepts, basic SQL, and script troubleshooting.

Coordinate international payroll delivery across countries and legal entities, validating inputs, reviewing outputs, resolving discrepancies, managing external payroll providers, supporting reconciliations and compliance, and improving payroll processes. Lead payroll workstreams for global vendor implementations and coordinate payroll setup for acquired entities while partnering with HR, Finance, Benefits, Treasury, and other stakeholders.

Performs digital vehicle damage assessments and prepares technical appraisals using DAT and Audatex. Determines replacement, residual, and diminished values; evaluates damage plausibility and repair compatibility; develops repair procedures in line with technical and legal requirements; reviews supplements and invoices; and communicates professionally with customers while maintaining accurate, timely claims processing.

Maintain secure, available, and cost-effective AWS database platforms supporting insurance claims systems. Responsibilities include database patching and upgrades, monitoring and incident response, backup and disaster recovery, privileged access and IAM management, production issue resolution, and automation. The role also contributes to a major data migration and modernization program and uses AI-assisted tools for scripting, code reviews, troubleshooting, and routine task automation.

Administer and modernize AWS database platforms supporting insurance claims systems. Responsibilities include database patching and upgrades, monitoring and alerting, production issue resolution, backups and disaster recovery, privileged access management, and automation. The role also contributes to data migration, infrastructure standardization, security, performance optimization, and AI-assisted scripting and troubleshooting.

Leads legal department operations across project and program management, budgeting, contracting workflows, vendor management, knowledge management, metrics, process improvement, and technology implementation. Evaluates automation and AI solutions, configures workflows, manages adoption and training, and oversees the LCARS intern and co-op program. Partners cross-functionally to improve efficiency, reporting, financial accuracy, and service delivery.

Design and build scalable cloud-based analytic applications across the full stack: RESTful .NET services, responsive Angular frontends, AWS-hosted analytics, CI/CD and DevOps automation, performance optimization, and experimentation with AI tools.

Ten-week paid business analyst internship supporting business process analysis, application configuration, requirements gathering, user stories, acceptance criteria, stakeholder alignment, and user acceptance testing. Interns will gain experience with Azure DevOps, Excel, SQL, and business systems technology while working in a hybrid London office environment.

Build and maintain Windows desktop applications in C# and .NET using WPF, WinForms, or WinUI. Develop well-defined features, integrate REST services and data stores, write automated tests, diagnose performance and production issues, and contribute to CI/CD, packaging, deployment, and code reviews. The role also involves mentoring junior developers, collaborating cross-functionally, documenting work, and supporting modernization from .NET Framework to modern .NET.

Lead the architecture and production delivery of agentic AI solutions across insurance software products and workflows. Responsibilities include building reusable agent services, writing production code, designing orchestration and RAG workflows, integrating enterprise knowledge and APIs, establishing AI evaluation, implementing CI/CD and observability, enforcing security and governance, and guiding engineering teams on AI-enabled development practices.