Quantitative Researcher

About the role

We're a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we've been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves. Our core strategies span market-making, HFT, and statistical arbitrage. We're a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment. We're looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience. As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. Key job responsibilities include: Analyze large datasets to research crypto signals Build, back test, and refine trading and hedging strategies across exchanges Monitor and analyze model performance in live trading to come up with improvement ideas Adapt existing strategies to new exchanges and crypto products Conduct research in niche market forces to improve our trading performance What We Look For We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments. The ideal candidate will have: Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance Deep understanding of varying crypto market microstructure and macrostructure Exceptional quantitative and problem-solving skills Strong team player with excellent communication skills Ability to use advanced statistics, machine learning models to solve practical problems Prior experience working in a data-driven role

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