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We’re building a research lab that puts its ideas to the test in one of the most complex, information-rich environments in the world: the financial markets. Much of trading still depends on hand-crafted signals and intuition. We’re approaching it differently - from first principles. We design systems that learn, adapt, and improve with data. Our infrastructure is built to accelerate research: fast iteration loops, real-time feedback, and direct connection between ideas and outcomes. We’re starting with liquid markets like equities and options - high-dimensional, dynamic systems where traditional pipelines break down. Our goal isn’t just to model them better - it’s to build a platform for experimentation, where every result tightens the loop between theory and practice. If you care about learning systems, clean abstractions, and applying research in the wild - we’re hiring.

Greenboard is building a singular, AI-powered platform to handle management of the entirety of financial firms’ compliance programs, and eventually all back office processes. Today, financial institutions use Greenboard to detect risk using AI and to rip out and replace the bad legacy back office tooling they have wanted to get rid of for years. Greenboard's mission is to enable financial institutions to operate their back office teams at a higher standard, with half of the headcount. We’re starting with compliance