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As a Risk Consultant at Verisk's Casualty Analytics Team, you will support clients by troubleshooting issues related to the Arium platform, analyze data for consultancy projects, deliver training, and innovate processes. This role involves client interaction and requires strong analytical skills, with a focus on enhancing client success in the insurance modeling industry.

The Integrated Marketing Manager will lead the international marketing strategy and execution for the Extreme Events Solutions business, developing multi-channel B2B marketing campaigns. They will collaborate with cross-functional teams, drive go-to-market strategies, analyze market trends, and refine customer personas to meet revenue goals, all while ensuring alignment with global marketing efforts.

The Database Reliability Engineering Manager will lead and manage a globally distributed team of database engineers, focusing on Relational and NoSQL database administration, architecture, and optimization. Responsibilities include overseeing database operations, ensuring high availability and security, mentoring staff, and collaborating with other teams to enhance database-driven applications.

The Senior Scientist will develop and optimize computational models for wildfire modeling, analyze large datasets, evaluate trends in wildfire activity and climate drivers, and create technical documentation and presentations. The role involves collaboration with various stakeholders to enhance existing models and deploy them for new applications.

The Senior Engineer will be responsible for designing, developing, and maintaining reports, data conversions, and interfaces for Oracle Fusion Cloud Applications. They will troubleshoot incidents, manage Oracle Service Requests, gather requirements from stakeholders, and create technical documentation. The role involves working with APIs, handling quarterly updates from Oracle, and understanding the integration security within SaaS applications.

Verisk is looking for an experienced data scientist to support the development of various analytics models and supervise junior data scientists. The successful candidate should have experience in data science with coding experience in Python, the ability to develop models using GLMs and machine learning, and skills to manage a team of data scientists. Responsibilities include building new analytics products, data analysis, model creation, documentation, and presenting analysis results. Qualifications include a Master's/PhD in math, science, or analytics, programming experience with Python and SQL, and strong communication skills.

Accountable for application development supporting business objectives while demonstrating independence in software development lifecycle phases from concept and design to testing. Responsibilities include hands-on coding, architecting web content solutions, providing technical guidance, troubleshooting and maintaining applications, and participating in design and technical meetings.