Finance Business Partner, Analytics & Workforce (Remote)

We're building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics. Behind this work is a Finance team that holds the function to the same standard: rigorous, transparent, and built to last. You'll be the analytical and systems engine of that team — owning our financial tooling, workforce analytics, and compensation modelling, while caring just as much about whether the numbers make sense as whether the systems run.…