The Quant / Financial Engineering Podcast Hedge Fund Manager and AI
Mar 29, 2026
Justin Rubnerin, an MFE-backed quantitative finance partner at Living with Capital, discusses practical AI use in investment research. He covers using LLMs for fast data retrieval and idea debating. They compare general LLMs to programmatic tools, stress precise prompting, and emphasize learning domain craft while trusting-but-verifying AI outputs.
AI Snips
Chapters
Transcript
Episode notes
AI Compresses Deep Research Time
- AI accelerates research and decision making by surfacing relevant information faster than manual methods.
- Justin Rubnerin contrasted pre-2019 manual PDF searches with LLM debate workflows that quickly point to lines like Goodwill for deeper scrutiny.
Debate Investment Ideas With LLMs
- Do use LLMs as a debating partner to challenge and expand your investment thesis.
- Justin describes asking an LLM about a company's earnings line by line, then verifying and debating its findings to surface new ideas.
Expertise Remains Core Despite AI
- AI doesn't replace expertise; it enhances practitioners by freeing time for higher-level judgment.
- Justin explains that faster info retrieval lets experienced finance professionals be more prudent stewards of client capital.