AI Researcher / Quant

Job Description

Why you should join us
• We’re building a research lab with a real-time feedback loop: the financial markets.
• We’re working with structured and unstructured data at scale to build temporal AI systems that adapt, predict, and act.
• Our edge isn’t secret data or microwaves — it’s the speed at which we iterate and learn.
• You’ll lead ML/AI strategy at the intersection of research and live deployment.
• We’re starting in options – complex, under-modeled, and full of opportunity.
• Join a frontier team with over a decade of experience in quant trading. These aren’t logos from internships – we’ve started and led teams at Optiver, DRW, and Argo AI.

What you’ll do
• Lead development of predictive models, RL agents, and signal discovery workflows.
• Integrate alternative data, design experiments, and rapidly test hypotheses in sim + live trading. Measure your impact in market returns.
• Work side-by-side with the founders to test predictions in real markets and learn from every outcome – good and bad.
• Shape the research direction, modeling stack, and experimental culture from day one.

What we’re looking for
• Deep expertise in ML/AI – especially time-series, forecasting, representation learning.
• Strong coding background: Python, data pipelines, AWS/GCP infra.
• Experience deploying models in production: you care about what works, not just what looks good on paper.
• Clear thinker, fast builder, excited to work at the edge of research and execution
• Zero experience in financial markets is expected. Drive and curiosity matter.

You’ll be given the autonomy to do some of the best work for your life.