Quantitative FIC Internship: Build ML Trading Models

Quantitative FIC Internship: Build ML Trading Models

Internship 22500 - 27500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build ML trading models and engage in quantitative trading research.
  • Company: Deutsche Bank, a leading global financial services provider.
  • Benefits: Hands-on experience, formal training, and networking opportunities.
  • Other info: Supportive environment with expert supervision and career development.
  • Why this job: Gain real-world experience in finance while working on innovative projects.
  • Qualifications: Strong analytical skills and a passion for statistics and machine learning.

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

Deutsche Bank internship in the UK offers hands-on experience in quantitative trading research, with formal training and ongoing support.

You will learn how we deliver for clients worldwide while building your professional network with colleagues across the firm.

As an intern in the FIC quantitative trading teams, you’ll tackle real projects using statistics, ML, and algorithmic development to interact with markets and clients, under expert supervision.

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Quantitative FIC Internship: Build ML Trading Models employer: Deutsche Bank AG

Deutsche Bank AG is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Market Risk Manager, you will benefit from a culture that prioritises professional growth and development, alongside competitive compensation and comprehensive benefits. The opportunity to engage with diverse teams and contribute to the expansion of the global Energy business makes this role both meaningful and rewarding.

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Contact Details:

Deutsche Bank AG Recruitment Team

We think you need these skills to ace Quantitative FIC Internship: Build ML Trading Models

Statistical Analysis
Machine Learning
Algorithm Development
Quantitative Research
Data Analysis
Programming Skills
Financial Markets Knowledge