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Monolith Investments LP manages the Onyx Fund, a concentrated portfolio built around the infrastructure of the AI buildout, with a discretionary macro book alongside it. We approach markets the way a research lab approaches an open problem: hypotheses are tested rigorously, positions are sized with discipline, and conviction is earned through evidence rather than assumed. Our edge comes from combining quantitative rigor with the kind of fast, adaptive engineering usually found at early stage technology companies, not from following a playbook someone else already wrote.
We are a small team by design. That means the people who join us do not sit behind layers of process; they own real problems from day one, whether that is underwriting a position, hardening execution infrastructure, or stress testing a thesis against regimes it has never seen. If you want your work absorbed into a committee decision, this is not the right place. If you want your thinking to show up directly in how capital is allocated, it is.
We look for people who are comfortable with ambiguity and genuinely curious about markets, not just about the math for its own sake. Backgrounds vary across our team, spanning mathematics, physics, computer science, and finance, but the common thread is a willingness to be rigorous when it is inconvenient and to change your mind when the data says you should.
Below are our current open roles. If none of them describe you exactly but you think you would still be a strong fit, reach out anyway.