We are seeking a skilled and motivated Quantitative Research Analyst to join our investment team. The ideal candidate will play a crucial role in developing and implementing innovative trading strategies and tools, utilizing advanced statistical techniques to optimize trading approaches. This role is perfect for someone passionate about quantitative analysis and looking to make a significant impact in the fast-paced world of equity trading. If you are eager to apply your analytical skills to real-world financial markets and work as part of a dynamic team, we would like to hear from you.
Key Responsibilities:
- Collaborate closely with the investment team to develop and implement trading strategies. Apply advanced statistical analysis to optimize these approaches.
- Conduct thorough analysis of large datasets containing historical and real-time equity market data. Identify key opportunities and trends to aid in strategic decision-making.
- Participate in all aspects of the strategy development process, including data analysis, hypothesis testing, back testing, and post-trade analysis.
- Effectively communicate research findings and deliver actionable insights through various formats such as reports and presentations, ensuring that complex data is accessible and understandable.
Requirements:
- A bachelor's degree or higher in a quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, or a related discipline.
- Prior experience in quantitative research or trading within equity markets is essential. Familiarity with factor models is HIGHLY advantageous.
- Proficiency in programming languages and tools such as Python, SQL, SAS, and C++.
- A solid grasp of equity markets and financial statements is preferred, enabling more effective analysis and strategy development.
- A keen interest in investment, strong learning ability, excellent teamwork skills, self-driven, and a strong sense of responsibility.
