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Green Lake Executive Search Co. Limited
Hong Kong, Hong Kong
(on-site)
Posted
16 days ago
Green Lake Executive Search Co. Limited
Hong Kong, Hong Kong
(on-site)
Job Function (focus on data-based)
Asset/Property Management
High Frequency Portfolio Manager/ Quant PM
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
High Frequency Portfolio Manager/ Quant PM
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
某对冲基金招聘High Frequency Portfolio Manager ,3-8年高频交易经验,base HK 或亚洲国家远程, 感兴趣请联系Katherine, 微信号:Katherine_Shiu 欢迎转发与自荐!High Frequency Portfolio Manager/ Quant PM
Key Responsibilities:
- Responsible for signal mining/backtesting/live trading management of high-frequency strategies, with options for market making, arbitrage, and unilateral trading, and accountable for strategy results;
- Build the investment research framework for the respective strategy line and the high-frequency backtesting framework;
- Guide researchers in high-frequency strategy investment research and collaborate with R&D on process optimization;
- Design and develop quantitative trading strategies for cryptocurrencies using statistical, machine learning, and econometric methods.
Qualifications:
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Financial Engineering, Computer Science, Physics, or a related discipline.
- 4+ years of experience at a reputable fund or high-frequency trading firm, ideally in cryptocurrency trading, high-frequency trading, or related financial markets.
- Demonstrated success in developing trading strategies or predictive models, preferably for digital assets.
- Proficient in Python/C++, familiar with Linux system development and high-performance computing, and possesses a proven investment research methodology for the respective strategy line
- Strong problem-solving skills with the ability to derive insights from noisy and complex datasets.
Job ID: 79703212
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