AI-Driven Quant Research Internship (Macro Trading)

AI-Driven Quant Research Internship (Macro Trading)

Internship 22500 - 27500 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Develop analytics tools and trading signals while working with Quant and Applied AI teams.
  • Company: Brevan Howard, a leading firm in macro trading and research.
  • Benefits: Comprehensive training, mentorship, and potential pathway to the 2028 Graduate Program.
  • Other info: Dynamic internship in London with opportunities for career advancement.
  • Why this job: Gain hands-on experience in macro markets and cutting-edge AI applications.
  • Qualifications: Passion for finance, strong analytical skills, and familiarity with Excel and Python.

The predicted salary is between 22500 - 27500 Β£ per year.

Brevan Howard invites applications for its summer internship program in London, offering a comprehensive one-week training on macro markets, Excel and Python, plus exposure to Quant and Applied AI teams working on research and trading problems.

Interns will develop analytics tools, trading signals, and back-testing capabilities, with mentorship and talks.

The program aims to identify top performers for the 2028 Graduate Program.

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AI-Driven Quant Research Internship (Macro Trading) employer: Brevan Howard

Brevan Howard Investment Management is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from comprehensive professional development opportunities, competitive compensation, and the chance to work on impactful global tax strategies within a supportive team environment. With a focus on meaningful contributions and career growth, Brevan Howard stands out as a rewarding place for talented professionals in the finance sector.

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Contact Details:

Brevan Howard Recruitment Team

We think you need these skills to ace AI-Driven Quant Research Internship (Macro Trading)

Excel
Python
Quantitative Analysis
Data Analytics
Back-Testing
Trading Signals Development
Research Skills