Quantitative Developer

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 

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
• Comfortable operating in a frenetic, high-stakes environment
• Prior experience working in a data-driven role 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.