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.
Updated: 30 June 2025
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Jobs in the cities of England - fresher vacancies (869929) на Kit-Jobs.Ru: Index - Quant Researcher • Selby Jennings London, UK, London. Here you can learn about the employer vacancy for free online.
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