Machine Learning and Quantitative Analyst

2 months ago

London, Greater London, United Kingdom Quantitative Talent Ltd Full time

Job Summary:

Quantitative Talent Ltd is seeking a highly skilled Quantitative Researcher to join its team in London. This role focuses on alpha generation for high-frequency trading (HFT) and mid-frequency trading (MFT) strategies.

Key Responsibilities:

  • Develop and implement quantitative models for alpha generation, utilizing statistical and machine learning techniques on large datasets.
  • Conduct research to identify new trading opportunities, collaborating with senior researchers to enhance HFT and/or MFT strategies.
  • Backtest and validate trading strategies for robustness and profitability, ensuring alignment with company goals.
  • Collaborate with cross-functional teams to drive business growth and improve trading performance.
  • Stay up-to-date with industry trends and advancements in quantitative research, applying knowledge to drive innovation and improvement.

Requirements:

  • Master's degree or PhD in Mathematics, Statistics, Computer Science, or Engineering.
  • At least 1 year of experience in alpha generation in HFT or MFT strategies (maximum holding period 2 days).
  • Experience in quantitative research on equities, futures, and/or cryptocurrencies.
  • Strong Python programming skills; experience with NumPy and Pandas is a plus.
  • Knowledge of quantitative research methods and financial markets.
  • Excellent problem-solving, communication, and teamwork skills in a fast-paced environment.

Nice to Have:

  • Experience with C++ or other programming languages.
  • Understanding of machine learning techniques and tools.
  • Knowledge of high-frequency trading and market microstructure.
  • Previous experience in a trading environment or a similar role.
  • Achievements in the International Mathematical Olympiad (IMO) and/or the International Olympiad in Informatics (IOI).

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