Quantitative Trader 量化交易员（美股中频交易策略）

• Design, implement, and manage mid-frequency trading strategies in the US stock market, applying statistical arbitrage and advanced quantitative models.
• Develop, test, and execute dispersion trading, correlation trading, and index arbitrage strategies.
• Analyze and model the relationships between stocks and indices, capturing market inefficiencies caused by correlation, dispersion, and other market dynamics.
• Monitor portfolio risk and strategy performance, proactively optimizing and adjusting strategies to improve risk-adjusted returns.
• The same skills, strategies, and frameworks will need to be applied to other alternative asset (crypto) fields.

• Bachelor's degree or above in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field.
• Practical experience in dispersion trading, correlation trading, or index arbitrage in the US stock market. At least 2 years of practical experience in mid-frequency trading (holding period from hours to several days) in the US stock market.
• Proficient in mainstream programming languages ​​such as Python/C++/R, and familiar with trading system development. Solid knowledge of stock market microstructure and trade execution. Excellent analytical and quantitative modeling abilities, capable of independently designing and backtesting complex trading strategies.
• Ability to work independently and achieve performance in a competitive, fast-paced environment.
• Familiarity with options, ETF arbitrage, and other market-neutral strategies is preferred.
• Experience in applying data mining, predictive modeling, and machine learning in trading is preferred.
• A verifiable or citationable historical profit record is preferred.

• 设计、实施并管理在美股市场上的中频交易策略，应用统计套利及先进的量化模型。
• 开发、测试及执行dispersion trading、correlation trading 和 index arbitrage 等相关策略。
• 分析并建模股票与指数之间的关系，捕捉由相关性、分散性及其他市场动态产生的市场低效。
• 监控投资组合风险及策略表现，主动优化并调整策略以提升风险调整后收益。
• 同样的技能，策略，框架将需要被应用在其他另类资产（crypto）领域。

• 数学、统计学、计算机科学、工程或相关量化专业本科及以上学历。
• 具备dispersion trading（股指分散交易）、correlation trading（相关性交易） 或 index arbitrage（指数套利）在美股市场的实际操作经验。至少2年美股中频交易（持仓周期为小时至数天）实战经历。
• 精通Python/C++/R等主流编程语言，熟悉交易系统开发。扎实的股票市场微结构及交易执行知识。优秀的分析能力和量化建模能力，能够独立设计并回测复杂交易策略。
• 有独立驱动工作的能力，并能在竞争激烈、快节奏环境中取得业绩。
• 熟悉期权、ETF套利及其他市场中性策略者优先。
• 有数据挖掘、预测建模及机器学习在交易中应用经验者优先。
• 拥有可验证或可引用的历史盈利记录者优先。

• Bitget is the world's leading web 3 platform for copy trading and one of the world's largest and most respected exchanges
• We are a global company with staff members from over 50 different countries and regions
• We are growing and looking for world-class ambitious talents to help us continue this journey
• We have a streamlined structure that empowers employees to work efficiently, delivering the best results in a short timeframe
• We offer competitive salaries and benefits
• Blockchain technology and digital assets have the potential to change finance in a way no other technology can - be part of it!

Bitget