Index - Quant Researcher
Key Responsibilities:
- Lead and manage the full research lifecycle, including methodology design, data acquisition and analysis, prototyping, backtesting, and performance evaluation.
- Enhance and refine existing trading strategies to improve performance and robustness.
- Independently develop and test proprietary trading signals and strategies suitable for deployment.
- Conduct portfolio optimization and risk management analysis.
- Apply advanced time series modeling, simulation techniques, and quantitative research methods.
- Work with large, complex datasets to extract actionable insights.
- Evaluate new and alternative datasets for their alpha-generating potential.
- Contribute to the ongoing enhancement of the research process, trading infrastructure, and overall investment framework.
- Generate novel alpha signals with a proven track record of success.
Qualifications:
- Master's or PhD in a quantitative discipline such as Finance, Computer Science, Mathematics, Physics, or Engineering.
- Demonstrated experience researching index strategies.
- Strong programming skills, particularly in Python; familiarity with data science and machine learning libraries is a plus.
- Proven ability to formulate and test trading hypotheses, particularly in equities and intraday markets.
- Experience researching and developing intraday futures trading strategies.
- Excellent analytical and quantitative problem-solving skills.
- Self-motivated and accountable, with the ability to work independently as well as collaboratively within a small, focused team.
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