Quantitative Researcher

Chainsage is a fully remote, sub-20-person quantitative trading firm operating across major crypto venues. We build proprietary, low-latency systematic market-making and arbitrage systems from first principles, trading billions of dollars in monthly volume. We believe quantitative trading will be dominated by actors who can establish agentic research and development loops fastest. We are well funded, move quickly and value autonomy. Must Have Have at least 5 hour overlap with US East Coast to Europe timezones (GMT-4 to GMT+3) 6+ years in systematic trading (market making, stat-arb, futures basis), ideally HFT Experience with market microstructure and/or pricing engines, risk management models, setting up ML pipelines Extensive professional experience with C++ or Python Responsibilities Define and execute the quantitative strategy for the company Lead the research, design and development of models for pricing derivatives, market microstructure analysis, risk management, liquidity assessment and management Collaborate closely with engineers to build systems and frameworks for managing risk, monitoring trading Mentor, recruit and lead a team of quantitative analysts Identify new venues, markets and instruments to trade What We Offer Tight feedback loop between research and execution, highly motivated coworkers who excel at what they do Base + profit sharing + pre-funding equity Fully remote, highly flexible and dynamic environment, periodic in-person R&D sprints Visa sponsorship in various jurisdictions, including the US (H1B) and the UK/EU Chainsage