Quantitative trader at Bitunix exchange

Job Description

Key Responsibilities

• Strategy Development & Optimization: Research and develop quantitative trading strategies for the digital currency market, leveraging statistics, machine learning, and AI to optimize existing strategies and explore new opportunities.
• Backtesting Framework: Design and implement a robust backtesting framework to validate strategy effectiveness and performance on historical data.
• Strategy Execution & Monitoring: Oversee the real-time execution of strategies, ensuring stable system operation and seamless implementation.
• Performance Tracking: Monitor strategy performance continuously, adjusting parameters as needed to maintain optimal results.
• Risk Management Collaboration: Work closely with the risk control team to ensure all strategies align with the company’s risk management framework.

Job Requirements

• Proven experience in quantitative trading strategy development, particularly in low-risk strategies like tariff arbitrage.
• Strong proficiency in statistical analysis, machine learning, and artificial intelligence techniques.
• Experience in designing and implementing backtesting frameworks for trading strategies.
• Ability to execute and monitor strategies in real-time, ensuring stability and performance.
• Collaborative mindset to work with risk control teams and adhere to risk management protocols.
• Deep understanding of digital currency markets and arbitrage opportunities.

Preferred Skills

• Expertise in low-risk arbitrage strategies, especially contract tariff arbitrage.
• Advanced programming skills in Python, R, or similar languages for quantitative analysis.
• Familiarity with trading platforms and execution systems in the digital asset space.
• Strong analytical and problem-solving abilities to adapt strategies to market changes.