Research & Model Intelligence Lead

Job Description

Tasks The Opportunity As Research & Model Intelligence Lead, you’ll take full ownership of the systems and science that power our edge — from model research and fine-tuning to inference optimization, evaluation frameworks, and the AI agent intelligence layer. You will be expected to lead a team that builds, evaluates, and deploys models that support our investment activities. This is a senior role with real leadership weight. You’ll lead a team of ML engineers, NLP specialists, and quantitative researchers — setting research direction, running evaluation cycles end-to-end, and ensuring that model improvements translate to trading performance. You’ll partner tightly with traders, strategists, and platform engineers. We’re looking for an AI-native, agentic engineer-researcher: someone who instinctively uses LLMs and modern tooling to accelerate experimentation, evaluation, and iteration — and teaches their team to do the same. You create leverage through models, people, and rigorous evaluation. What You’ll Do Own the research and model intelligence domain Take end-to-end ownership of the systems that generate, evaluate, and serve our trading intelligence — including fine-tuned LLMs, prompt engineering pipelines, NLP signal extraction, agent architectures, and evaluation infrastructure. Lead and scale a team Act as a true people leader: set research direction, coach performance, run planning, and create clarity across a team spanning ML engineering, NLP, quantitative research, and agent development. Bridge research and production Turn model improvements into deployed trading performance. Own the full pipeline from hypothesis through evaluation to production serving — keeping it fast, reliable, and measurable. Partner with senior stakeholders Work directly with trading strategists, execution engineers, and platform leads. Translate trading ne