About the Role
Define what frontier finance data should look like, designing the tasks, benchmarks, and reasoning traces that push model capability forward.
A full-time role based at Qofi's New York office, working alongside operators from top investment banks and private equity firms and engineers from leading AI labs.
Qofi builds the highest-precision financial-reasoning data in the world, and the platform and deployments that put it to work inside institutions.
High ownership from day one, in a flat structure where ideas move from whiteboard to production without committees.
Base salary plus meaningful equity and full benefits. Range is a placeholder pending confirmation.
On-site at Qofi's New York office, alongside the team building the data engine.
Full-time. Rolling start, the team moves quickly once there's a fit.
What You'll Do
Design novel data and evaluation methodologies that capture how elite finance practitioners actually reason.
Build benchmarks and agentic finance workflows that measure and advance frontier model capability.
Partner with AI lab researchers to translate open capability gaps into concrete data campaigns.
Analyze model behavior and data quality to guide what Qofi builds next.
What We're Looking For
Graduate degree or equivalent research experience in ML, CS, quantitative finance, or a related field.
Familiarity with LLM training, evaluation, or agentic systems, published or applied work a plus.
Strong analytical and writing skills; able to turn fuzzy capability questions into rigorous methods.
Genuine curiosity about finance and how AI systems reason about it.
Hiring Process
Send a resume and a short note on why this role, about five minutes.
A conversation about your background, the role, and what you're looking for.
Technical and team-fit conversations with the people you'd work with directly.
A clear decision quickly, with an offer and a start date that works.