Research Operations Analyst

Description: 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.

Supporting Model Audits & Research Compliance: Following our established audit procedure, you will conduct methodical audits of models ahead of each release milestone. Working from our model release questionnaire, you will verify process and release readiness (including reproducibility of results and validation against benchmarks), data management practices, documentation and team redundancy, compliance requirements, and adherence to code and coding standards. Beyond checking responses, you will probe inconsistencies, ask follow-up questions, and exercise judgment about what constitutes sufficient evidence, tracking findings through to resolution. As a review liaison during development, you will advise teams on research compliance, helping protect our intellectual property and minimize our data footprint. You will also help implement new processes and requirements for models developed on Nexus, our new platform, and keep audit procedures and checklists documented and up to date. Advising on Data Acquisition You will guide teams through Data Usage Requests and advise on terms of use for external data, flagging licensing or usage risks early in development.