Quantitative Trader

About the Role:

This opportunity is with a cutting-edge cryptocurrency exchange offering a wide range of trading services, including spot trading, futures, P2P, and copy trading. The platform combines advanced technology with deep market insights to deliver a secure, high-performance trading experience. It operates a hybrid A-book and B-book model to optimise trading execution, liquidity, and profitability across its futures platform.

Role Overview:

A fast-paced trading platform is seeking an experienced Quantitative Trader to manage and optimise A-book and B-book trading models, specifically for futures trading. This individual will be responsible for building and refining strategies that balance market risk, ensure platform liquidity, and maximise profitability. The ideal candidate will have deep knowledge of crypto derivatives markets, quantitative finance, and trading system infrastructure.

Key Responsibilities:

• Manage and oversee A-book and B-book trading operations for the futures platform
• Develop, backtest, and implement quantitative trading strategies to optimise trade execution and risk exposure
• Monitor and analyse market data, trade flows, and customer behaviour to inform strategy adjustments
• Collaborate with risk management and tech teams to ensure proper hedging, order routing, and system performance
• Adjust hedging models dynamically based on market volatility and internal position exposure
• Continuously improve profitability models, pricing strategies, and market-making algorithms
• Generate reports and dashboards to track performance metrics, PnL, and KPIs
• Stay current with crypto market trends, regulatory developments, and exchange risk practices

Qualifications

• Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Computer Science, or a related field
• Minimum 3+ years of experience in quantitative trading, preferably in crypto or derivatives markets
• Strong understanding of A-book and B-book execution models, particularly in futures trading
• Proficient in Python, R, or C++ for strategy development and data analysis
• Familiarity with APIs, market data feeds, order book dynamics, and trading platforms
• Strong risk management skills and ability to operate in high-volatility environments
• Experience with backtesting frameworks, trading system architecture, and latency-sensitive applications
• Self-motivated, detail-oriented, and capable of working in a fast-paced, high-growth environment