Quantitative Research Analyst
1 day ago
**Key Responsibilities**:
- Conduct thorough backtesting of trading strategies using historical market data to evaluate performance, identify potential risks, and validate assumptions.
- Demonstrate proficiency in calculating and backtesting various factors that drive stock returns, including but not limited to value, momentum, size, quality, and volatility. Identify and research new factors or alpha signals that have the potential to generate superior risk-adjusted returns, conducting rigorous analysis to validate their efficacy and robustness.
- Monitor and analyze real-time market data, news, and events to adapt trading strategies and make informed investment decisions in dynamic market conditions.
- Document research methodologies, findings, and results in clear and concise reports, presentations, and research notes for internal stakeholders and clients.
- Mentor junior members of the research team and provide guidance on quantitative methods, programming techniques, and best practices.
**Requirements**:
- A **bachelor's degree or higher in a quantitative field **such as Quantitative Finance, Mathematics, Statistics, Computer Science, or a related discipline.
- Proficiency in programming languages and tools such as Python, SQL, SAS, and C++.
- A keen interest in investment, strong learning ability, excellent teamwork skills, self-driven, and a strong sense of responsibility.
- Strong communication skills in both English and Chinese, with the ability to effectively collaborate with team members across different regions and departments.
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