Senior Equity Data Analyst, StockStory at Versant3

We're looking for a highly driven and intellectually curious equity and financial data analyst to join our team to build a new generation of AI-powered equity research. This role is designed for those with a passion for the stock market who are more excited by building scalable systems than by repeating the same analytical process company by company, quarter after quarter. It is especially well suited to people who want to future-proof their investing career by learning how great equity analysis gets translated into software, models, and AI-enabled products. You will oversee the data ingestion and transformation behind our AI equity research engine: LLM workflows that convert unstructured information into structured signals, and factor models that turn those signals into consistent, scalable outputs for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, supporting core research, product, and modeling decisions while working closely with both the equity research and engineering teams in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. What You'll Do: · Extract, organize and ensure accuracy of financial data, KPIs and qualitative information used in analysis of public equities across various industries. Contribute expertise and feedback for building automated systems for data extraction and validation. · Troubleshoot and rectify data issues that arise in the internal system including interfacing with Engineering and 3rd party data providers when necessary · Oversee publication of StockStory content to ensure accuracy of research and news content produced, to meet the journalistic standards of CNBC, and to contribute to development of a fact-checking AI agent · Contribute to earnings season coverage and stock moves coverage, contribute to development of related AI agents. · Support new feature development and contribute to improving StockStory quantitative factor-based stock picking models