LLM Research Engineer

Job Description

Job Overview We are building a financial data and AI research platform for institutional investors, systematically translating large language model capabilities into deliverable data products and analytical tools. The core focus of this role is researching how to extract high-quality signals from unstructured financial information using LLMs, and turning those research findings into product features that directly serve institutional investment workflows. Key Responsibilities 1. Financial Text Signal Research & Data Product Development • Apply LLMs (open-source and proprietary) to extract structured information from large volumes of unstructured financial text, including corporate filings (10-K/10-Q/annual reports), earnings call transcripts, analyst reports, macro news, and regulatory announcements; • Design and validate LLM-derived quantitative metrics (sentiment scores, event classifications, changes in forward-looking statements, etc.), evaluating their statistical quality and practical value as deliverable datasets for institutional clients; • Package validated research outputs into standardized data products (structured datasets, scoring series, research reports) ready for client integration. Show More