Research Operations Analyst

As a Research Operations Analyst, you will help safeguard the quality, integrity, and efficiency of research and model development across CRS (Catastrophe and Risk Solutions). Reporting to the Head of Research Operations within the Research Department, you will partner with researchers and engineers as a compliance liaison throughout the development lifecycle, conduct model audits ahead of release, and support a broad portfolio of Research Operations initiatives, from training and GenAI enablement to data acquisition and resource planning, all in service of helping Research operate at scale and amplify its impact across the organization. We operate in an environment in perpetual evolution, with access to new compute solutions, new software, and new AI capabilities. Research Operations helps Research maintain its level of excellence by organizing and optimizing the people, processes, tools, and technologies behind our work, ensuring it stays reproducible, well documented, compliant, and efficiently supported. This is a hands-on role for someone with strong attention to detail, solid technical foundations, and a genuine curiosity about how world-class scientific modeling gets done. You will apply and enforce our established procedures while gaining broad exposure to audit, data, AI, and infrastructure topics within a leading modeling organization. You will join a department of more than 100 scientists, engineers, mathematicians, and analysts who develop and maintain a global suite of probabilistic risk models used to quantify and transfer risk worldwide. Education & Experience Bachelor's degree required (Math, Engineering, Science, or related field). Master’s degree preferred. • 0–3 years of experience; exposure to research, model development, audit, or quality assurance environments is a plus. Skills & Mindset Exceptional attention to detail and a methodical, rigorous approach to reviewing work Genuine interest in auditing scientific work and understanding how models are built Highly organized, able to juggle several initiatives and follow established procedures consistently Clear communicator who can raise findings constructively and interact with different roles and levels Integrity and independence: able to hold teams to standards respectfully but firmly Curious, self-directed learner, energized by an evolving environment of new tools and technologies Comfortable operating in an environment of continuous change, flexible and adaptable to shifting priorities Technical Skills Working knowledge of Python or a similar scripting language, sufficient to read and assess code Experience in project management and software such as Jira Familiarity with version control systems (e.g., Git/GitHub) Strong working skills in Microsoft Office applications, particularly Excel, Word, and PowerPoint Hands-on familiarity with generative AI tools and prompt design, with an interest in building reusable AI workflows Understanding of reproducibility principles in scientific or data-driven work Familiarity with data management concepts (data catalogs, data lineage) is a plus Experience building dashboards or usage reports (e.g., Excel, Power BI) is a plus Our Values in Action In this role, you will embody Verisk's values by: Learning, seeking to understand how models are developed, how compliance protects our work, and how emerging technologies such as generative AI can responsibly enhance research Caring, engaging with teams respectfully, raising findings constructively, and acting as a trusted partner rather than a gatekeeper Delivering Value, ensuring our research is compliant, reproducible, and efficiently supported, translating into reliable, high-quality outcomes for our downstream teams and our businesses #LI-BH1