Teams at G-Research

Build production data pipelines that transform third-party datasets into research-ready data and live signals. Partner with quantitative researchers to engineer features, develop signals, validate and normalize data, and use LLM-based agents to automate ingestion-to-signal workflows. The role also involves creating reusable tools that help researchers and data scientists scale their work.

Own recurring technology operations and productivity reporting, respond to senior managers’ data requests, support process redesign, and maintain operational hygiene and resilience. The role requires a generalist who can combine data analysis, process improvement, operational coordination, systems thinking, and strong communication. The analyst will identify emerging issues, explain findings, challenge stakeholders constructively, and build relationships across technology teams.

Own recurring operational and productivity reporting, deliver ad hoc analysis for senior managers, support process redesign, maintain operational hygiene and resilience, identify emerging issues, and build relationships across technology teams.