Junior Quant Researcher

Vertexsearch

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Job Description

Quantitative Researcher London Startup Systematic Quantitative Hedge Fund

Our client is a well-funded and growing Systematic Equity startup with exceptional talent and strong financial backing.

The role will report to the Head of Research and the successful candidate will work alongside the existing team of 6 researchers.

They are looking for researchers to help them expand their understanding of market dynamics and to build quantitative trading systems. Researchers work with large complex datasets and have the freedom to explore their own ideas.

Skills and Experience

The ideal candidate may have the following:

  • A strong quantitative background in mathematics physics economics or similar
  • 1-3 years of commercial experience in relevant buy-side Quant roles OR a fresh PhD with relevant internships
  • A demonstrable interest in global financial markets
  • Some fluency in your programming language of choice (they use Python for research)
  • Ability to apply technical skills in order to understand complex market forces and create robust future predictions
  • Enthusiasm for working in a small and growing team with a high level of collaboration across the entire end-to-end trading system
  • Excellent communication and teamwork skills

New starters will receive close mentoring and training as they develop their skills.

Vertex Search are acting as a recruitment agency on this engagement.


Required Experience:

Junior IC

Job DescriptionQuantitative Researcher London Startup Systematic Quantitative Hedge FundOur client is a well-funded and growing Systematic Equity startup with exceptional talent and strong financial backing.The role will report to the Head of Research and the successful candidate will work alongside...
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Key Skills

  • Intelligence Community Experience
  • Python
  • Spss
  • Microsoft Word
  • R
  • Regression Analysis
  • Windows
  • Stata
  • Microsoft Powerpoint
  • Research Experience
  • Data Modeling
  • Writing Skills