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Quantitative Research / Trading - Entry level

Selby Jennings
London
11 months ago
Applications closed

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Data Engineer | Global Investment & Trading Environment | LONDON | High Compensation

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Quantitative Researcher (Machine Learning) - eFinancialCareers

Quantitative Data Engineer

Quantitative Data Engineer

I am working with a highly collaborative, academic fund that is expanding rapidly in London. They are looking for entry level quantitative researchers coming from a PhD.

Key Responsibilities:

  • Conduct research to identify and test new trading signals using statistical and machine learning techniques.
  • Develop and refine predictive models to analyze financial markets and uncover opportunities.
  • Collaborate with data scientists and engineers to preprocess and manage large-scale datasets.
  • Design, implement, and backtest quantitative strategies across multiple asset classes.
  • Monitor and improve the performance of existing models and strategies.

Preferred Qualifications:

  • PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, Engineering, or related disciplines.
  • Strong programming proficiency in Python, R, or C++.
  • Familiarity with statistical and mathematical modeling techniques.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Ability to tackle complex problems methodically and think critically about data and results.
  • Interest in financial markets or prior exposure to financial data analysis is advantageous but not required.
  • Effective communication skills and a collaborative approach to problem-solving.

If there is any interest, please apply directly or reach out to me on harry.moore(at)selbyjennings.com.

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