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
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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.
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Shape the research direction, modeling stack, and experimental culture from day one.
What we’re looking for
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Deep expertise in ML/AI - especially time-series, forecasting, representation learning.
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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.
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