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We’re building an investment firm around an AI researcher that tests investment ideas and carries what it learns into the next experiment. Every result, and every correction from our team, sharpens both its understanding of markets and the methods it uses to study them.
Open rolesWhat we believe
AI will soon do most of the research behind public markets, competing away existing edges and speeding up alpha decay. The firms that endure will be the ones that learn fastest, finding and testing new strategies faster than the old ones stop working.
What we’re building
A researcher that treats every experiment as evidence about both the idea and itself. A failure can expose a flaw in the data or a gap in the tools, and that lesson goes into the memory and tools the next experiment starts with.
Why it’s hard
Markets are a hard place to learn: signals are weak, relationships break down, and lookahead or overfitting can make a bad idea look good. The same biases can make a researcher look better than it is, so whether it has actually improved is measured on ideas it has never seen.
Engineering
Arseniy led engineering teams at Millennium responsible for research, portfolio management and risk factor model tools. Previously, he built trading and data systems at BlueMountain and co-founded Ivy, a consumer lending startup.
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AI Research
Liam co-developed Hyperband and ASHA during his machine learning PhD at Carnegie Mellon. He went on to lead ML at Determined AI and build research agents at Pokee, after an early stint at BlueMountain.
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Fund Strategy
Andrew co-founded BlueMountain, a $23B multi-strategy hedge fund, and served as its CEO and Chief Investment Officer, following a decade at JPMorgan.
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Alpha Research
Dan managed a $1.2B quantitative US equity portfolio at Millennium and ExodusPoint, where he went on to lead development of their quant platform. Before that, he built the alpha capture business in the early days of Two Sigma.
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Research Engineering
Nick co-founded Valis Trading, a quantitative US equity prop trading platform. Before that, he was a research engineer at Xantium and a quantitative trader at JPMorgan.
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Portfolio Construction
Noah was a researcher at Bridgewater focused on trading, portfolio construction, and equity factor research. Before that, he was an index volatility trader at IMC, focused on systematic strategies.
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[email protected]For current opportunities, contact us at the email above.