Our client is a highly profitable, fast-growing quantitative trading firm operating at the exact intersection of frontier AI and elite market-making. Founded by veteran researchers and engineers from OpenAI, Anthropic, and Google DeepMind, alongside top-tier quantitative minds from Jump Trading, Citadel, and Jane Street, they are building from a completely clean-slate architecture. This is a rare opportunity to join a small, stealth team constructing a "living platform"—trading infrastructure specifically designed to treat constant technological evolution and cutting-edge machine learning as a structural edge rather than a liability.
Software Engineers are tasked with building ultra-high-volume, low-latency trading infrastructure and highly resilient, production-grade data pipelines from the ground up.
Quantitative Developers serve as the vital bridge between research and engineering, translating advanced mathematical models and experimental strategies into fiercely optimized, high-performance production code.
AI & Machine Learning Engineers bring direct experience from frontier AI labs to embed the absolute latest breakthroughs in machine learning directly into the firm's core trading architecture.
Quantitative Researchers drive the mathematical research, rigorous statistical modeling, and deep learning frameworks that power live, scalable trading strategies in active markets.
Whether your edge lies in raw systems engineering, frontier AI research, advanced mathematics, or pushing hardware performance to the absolute limits of what is possible, this team is solving incredibly hard problems from scratch alongside people who have already done it at the highest global level.
Compensation is highly aggressive, offering a $450k base plus significant equity.
If you are interested in exploring this, reply directly and Goliath Partners will be in touch.
