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The Information Coordinator will collect and process data from various sources, ensuring quality and accuracy for Vision products. Responsibilities include data entry, sorting mail, addressing inquiries, and preparing reports for clients. The role requires attention to detail and strong interpersonal skills.

Actineo, a Verisk business, is looking for a Data Engineer with experience in delivering SaaS applications. The role involves shaping the future of products, defining system architecture, implementing data-driven features, and supporting agile teams to deliver high-quality products. Required skills include proficiency in Python, knowledge of SQL databases, data modeling, ETL processes, and data security practices.

As a Senior .Net Developer specializing in AWS, you will design and develop high-performance SaaS solutions utilizing JavaScript, Python, and various AWS technologies. Responsibilities include creating scalable applications for the insurance industry, developing middleware solutions, troubleshooting issues, and collaborating with stakeholders in an Agile environment.

Seeking a Web Analytics Specialist to manage advanced web analytics tracking for the Verisk Core web platform and other reporting tasks for global insurance clients. Responsibilities include implementing digital tracking, acting as a tag management expert, owning the data layer, collaborating with digital owners, and maintaining client relationships. Requires strong web analytics experience and expertise in Google Analytics and Adobe Analytics.

The Software Engineer role involves providing third line support for bespoke applications, resolving complex system issues, and ensuring high levels of customer satisfaction. Responsibilities include investigating incidents, assisting junior colleagues, participating in service transitions, and contributing to the overall IT strategy.

The Lead Java Developer will design and develop Anti-Fraud Analytics products in an AWS environment, lead junior engineers, and collaborate with other teams to enhance existing features and create new applications. Key responsibilities include building scalable applications, defining architecture, and ensuring security in coding practices.

The Team Lead - Analytics will develop various analytics models, supervise junior data scientists, and contribute to product development. Responsibilities include data analysis, model production using algorithms like GLM and Random Forest, and ensuring high-quality results in a collaborative environment.