Index - Quant Researcher


London
Permanent
Negotiable
Quantitative Analytics Research and Trading
PR/549956_1750686171
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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