Jobs at Verisk

Lead Agile product delivery by translating product strategy into epics and user stories, owning and prioritizing the backlog, running ceremonies, managing roadmaps, risks, releases, and stakeholder communications while using Jira, AI, automation, and BI tools to improve delivery and metrics-driven continuous improvement.

Design and develop cloud-native SaaS applications, scalable microservices, serverless components, REST APIs, and event-driven integrations on AWS. Work across the software development lifecycle, including architecture, testing, CI/CD, deployment, production support, documentation, and continuous improvement. Collaborate with product managers and engineering teams in an Agile environment to deliver reliable platform services for the insurance industry.

Build and maintain AWS cloud infrastructure, CI/CD pipelines, and infrastructure-as-code implementations. Manage Docker and Kubernetes workloads, improve platform tooling, and establish cloud standards. Develop monitoring and observability solutions, support production incidents, conduct root cause analysis, and maintain runbooks. Collaborate with development squads through Agile practices, provide technical guidance, and drive continuous improvements in reliability, security, cost efficiency, and deployment automation.

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.

Develop and maintain manual and automated tests for web applications, APIs, databases, and supporting infrastructure. Create test plans, investigate defects, assess release readiness, and partner with product, business, and development teams to ensure quality. The role also involves mentoring junior testers, contributing to acceptance criteria and planning, and improving testing processes and automation. Experience with Selenium, REST APIs, CI/CD, Agile, and tools such as Jira and Zephyr is required.

Test insurance and reinsurance risk-modeling software in an agile environment. Responsibilities include analyzing requirements, creating and executing test plans, automating test cases, debugging issues, maintaining acceptance and regression repositories, documenting defects and test artifacts, tracking results, communicating status, supporting product and development teams, improving QA processes, and training new hires.

Builds and optimizes AWS infrastructure, CI/CD pipelines, and automated deployments for mission-critical applications. Troubleshoots Linux, Windows, IIS, application, and server issues; monitors production systems; resolves incidents; leads migrations; and performs root-cause analysis. The role also mentors junior engineers and improves automation, reliability, stability, and operational performance.

Build and maintain Python backend services, RESTful APIs, data pipelines, and automation tools. Integrate LLMs and GenAI APIs, develop prompt engineering strategies, RAG pipelines, agentic workflows, and vector-based retrieval systems. Write tested, maintainable code, collaborate across technical and product teams, troubleshoot production issues, improve reliability, and evaluate emerging AI tools throughout the software development lifecycle.

Prepares revenue journal entries, analyzes financial metrics, reviews contracts for revenue recognition, supports month-end close, reconciles accounts, resolves discrepancies, maintains SOX documentation, and assists with audits. The role collaborates with global finance and business teams, ensures compliance with US GAAP and internal controls, and contributes to Order-to-Cash process improvements and finance transformation initiatives.

Owns consultative sales and revenue retention across an assigned U.S. insurance and InsurTech territory. The Account Executive prospects, manages pipelines, qualifies and closes complex opportunities, develops customized proposals and contracts, and builds executive-level customer relationships. The role manages 6–25 accounts, pursues annual sales goals of $3.5M–$6M, maintains Salesforce activity, collaborates with product and sales teams, and provides market feedback. This is a remote role requiring travel to customer locations and occasional travel to the Jersey City office.

Designs, develops, deploys, and improves accessible workplace learning programs for technical and business audiences. Responsibilities include needs analysis, instructional design, storyboarding, eLearning and multimedia production, LMS administration, SCORM/xAPI testing, quality assurance, stakeholder collaboration, project management, and learning-effectiveness evaluation. The role translates complex platform and configuration information into measurable, learner-centered training solutions.

Analyzes insurance and actuarial data, prepares regulatory filings and customer-facing products, troubleshoots coding logic, evaluates data quality, develops automated processes, and creates dashboards and data stories. Collaborates with actuarial, data, product, IT, regulators, and insurers to improve analytics, products, workflows, and customer experiences.

The Actuarial Associate will analyze and create pricing for Farmowners insurance, lead innovations in actuarial products, and collaborate with internal teams and regulatory authorities.

Manage end-to-end client implementations of Medicare reporting solutions, from kickoff through production. Serve as the primary client contact, gather requirements, configure solutions, coordinate internal teams, support API and data integrations, troubleshoot issues, validate data, and guide testing and production readiness. Maintain implementation documentation and plans while advising clients on Medicare reporting requirements, improving implementation processes, and communicating enhancement opportunities to Product and Technology teams.

Acts as the client-facing bridge between customers, product capabilities, and development teams. Responsibilities include gathering requirements, managing client backlogs, prioritizing enhancements, facilitating Agile planning and refinement, advising on platform usage, coordinating stakeholders, and ensuring delivered functionality provides measurable business value.

The Staff Attorney will draft and negotiate commercial contracts, provide legal support, manage risk, and handle various legal projects for Verisk Life Solutions.

Own and grow a complex B2B account portfolio through renewals, expansion revenue, consultative selling, and strategic account planning. Build pipeline, manage forecasts in Salesforce, engage senior stakeholders, and identify cross-sell opportunities across data, platform, and advisory solutions. Coordinate Sales, Client Success, Consulting, Product, and Data teams to deliver client value while contributing market insight and commercial improvements.

Leads QA and test automation across multiple agile applications. Responsibilities include developing test plans and cases, building automation frameworks and infrastructure, executing manual and automated functional and non-functional testing, reporting defects, coordinating end-to-end testing, and integrating regression testing with Jenkins. The role requires expertise in Selenium, Playwright, Cucumber, Java, TypeScript, API and database testing, mobile automation, load testing, Agile/Scrum, and TDD, BDD, and ATDD.

Build and deploy production-grade Generative AI applications using Python, APIs, LLMs, RAG pipelines, vector databases, and AWS. Develop prompt engineering and model evaluation workflows, integrate commercial and open-source AI models, and optimize systems for reliability, scalability, latency, and cost. Collaborate with product, architecture, data science, and engineering teams while following software engineering, testing, code review, and CI/CD practices.

Build and deploy production Generative AI applications using Python, LLMs, RAG pipelines, vector databases, and cloud platforms. Develop scalable REST APIs with FastAPI or related frameworks, integrate commercial and open-source models, optimize prompts and AI evaluations, and improve system reliability, latency, scalability, and cost. Collaborate with product, architecture, data science, and engineering teams while following testing, code review, version control, and CI/CD best practices.