The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments.
Role: Execute and manage the continuous flow of orders originating from client and platform trading activity across crypto spot and derivatives markets, ensuring efficient pricing and smooth order fulfillment
Job Responsibilities:
Manage real-time inventory and risk exposure arising from incoming order flow throughout the trading day
Price and execute trades across a wide range of crypto instruments including spot pairs, perpetual swaps, and options
Analyze trading performance metrics including P&L attribution, fill rates, spread capture, and market microstructure patterns to identify areas for improvement and optimization
Evaluate and monitor new token listings and project lifecycles end to end
Track the evolving landscape of new crypto projects, protocol upgrades, and ecosystem developments to proactively assess their impact on trading flow, volatility, and inventory management
Collaborate closely with the development teams on the design, testing, and deployment of new trading systems, execution tools, and risk management infrastructure
Participate in the full software development life cycle of trading tools — from initial concept and specification through UAT testing, production rollout, and post-launch performance monitoring
Provide continuous feedback to the technology team on system reliability, latency, and functionality gaps to drive ongoing platform enhancements that improve execution quality and operational efficiency
Job Requirements:
Bachelors or Masters' degree in quantitative discipline from top global university
Several years of experience in a trading or market-making role, ideally within digital assets, FX, or equities, with a strong understanding of order flow dynamics and market microstructure
Solid quantitative and analytical skills with the ability to interpret large datasets, build models, and make data-driven decisions under time pressure
Proficiency in programming languages such as Python, with experience working with trading systems, APIs, and real-time data pipelines
Strong risk awareness and the ability to manage multiple positions simultaneously while maintaining composure during periods of extreme market volatility
Excellent communication and collaboration skills, with the ability to articulate trading ideas and risk concerns clearly to both technical and non-technical stakeholders