
Quantitative Trader
9 hours ago
Drive alpha generation as a Quantitative Trader, leveraging sophisticated quantitative analysis to identify market inefficiencies and execute profitable trades within equity markets. Reporting to the Portfolio Manager, you will conduct rigorous research, backtest investment strategies, and ensure precise trade execution to contribute directly to the fund's performance objectives.
**Responsibilities**:
1. Conduct in-depth analysis of market dynamics, financial statements, and alternative datasets to uncover actionable investment insights.
2. Collaborate with the Portfolio Manager to research, develop, and refine quantitative investment strategies.
3. Continuously evaluate and optimize existing trading strategies and execution processes to maximize efficiency and profitability.
4. Execute equity trades with precision, adhering to established strategies and adapting to real-time market conditions.
5. Proficiently utilize trading platforms and quantitative tools for efficient and accurate order management.
6. Actively manage and optimize portfolio positions to meet target risk and return parameters.
7. Stay abreast of market news, events, and regulatory developments to inform trading decisions and strategy adjustments.
8. Maintain meticulous and accurate records of all trading activities and relevant documentation.
**Requirements**:
1. Bachelor's degree in Finance, Computer Science, or a related quantitative field. Advanced degrees (Master's, PhD) or relevant professional certifications (e.g., CFA) are advantageous.
2. Demonstrable experience as an Equity Trader within a financial institution, hedge fund, or asset management firm.
3. Minimum of 2-3 years of direct trading experience in both HK and US equity markets.
4. Proficiency in utilizing industry-standard financial data platforms and trading systems, including Bloomberg, CapitalIQ, TradingView, and Interactive Brokers.
5. Fluency in Mandarin Chinese, both written and spoken, to facilitate effective communication with Mandarin-speaking counterparts.
6. Strong understanding of risk management principles and a proven ability to implement and adhere to risk control measures.
7. Proficiency in Python programming, with prior experience in developing trading algorithms or leveraging data analysis libraries.
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