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Quant Researcher

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London

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GBP 50,000 - 90,000

Yesterday
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Job summary

An innovative firm is seeking a Quantitative Researcher to leverage statistical techniques and data analysis to develop sophisticated investment models. This role involves applying machine learning to diverse datasets, collaborating with engineers to test investment theories, and attending academic seminars to gain insights from leading experts. Ideal candidates will possess a strong educational background in technical disciplines and demonstrate independent thinking and creativity in data analysis. Join this dynamic team and contribute to cutting-edge research that shapes market behaviors and investment strategies.

Qualifications

  • Excellent background in statistical techniques and data analysis.
  • Experience in performing in-depth research projects.

Responsibilities

  • Develop sophisticated investment models using scientific methods.
  • Apply quantitative techniques to analyze vast datasets.
  • Create and test complex investment ideas.

Skills

Statistical Techniques

Data Analysis

Machine Learning

Independent Thinking

Creative Problem Solving

Education

Degree in Statistics

Degree in Mathematics

Degree in Physics

Degree in Electrical Engineering

Degree in Computer Science

Tools

C

C++

Java

Python

Job description

Quant Researcher With Very Strong Statistics / Data Analysis / London/ £Base + Bonus

Quant Fund is looking for a quantitative researcher with an excellent background in statistical techniques and data analysis to be based in London.

Role:

  • Use a rigorous scientific method to develop sophisticated investment models and shape insights into how the markets will behave.
  • Apply quantitative techniques like machine learning to a vast array of datasets.
  • Create and test complex investment ideas and partner with our engineers to test your theories.
  • Attend academic seminars to learn from thought leaders from top universities.
  • Share insights from conferences focused on statistics, machine learning, and data science.

Requirements:

  • Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate).
  • Intermediate skills in at least one programming language (like C, C++, Java, or Python).
  • Experience performing an in-depth research project, examining real-world data.
  • Ability to think independently and creatively approach data analysis and communicate complex ideas clearly.

Apply:

Please send a PDF CV to quants@ekafinance.com.

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