Quantitative FIC Internship: High-Frequency Trading & ML

Quantitative FIC Internship: High-Frequency Trading & ML

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

  • Tasks: Apply statistical and machine learning methods to trading systems and client interactions.
  • Company: Join Deutsche Bank, a leading global financial institution in London.
  • Benefits: Gain hands-on experience and advance your quantitative skills in a dynamic environment.
  • Other info: Opportunities for co-supervised theses and real-life applications.
  • Why this job: Work on innovative research projects and collaborate with top teams in finance.
  • Qualifications: Post-graduate quantitative students with a passion for high-frequency trading.

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

Deutsche Bank is offering an Internship Programme in London for post-graduate quantitative students.

You will gain hands-on experience across our FIC desks, learning how to apply statistical and machine learning methods to trading systems and client interactions.

You will work with leading teams on research projects, sometimes as co-supervised theses, and have opportunities to advance your quantitative skills through real-life applications and collaboration across the bank.

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Quantitative FIC Internship: High-Frequency Trading & ML employer: Deutsche Bank

Deutsche Bank is an exceptional employer, offering a dynamic work environment in London that prioritises employee development and wellbeing. With a commitment to hybrid working, competitive salaries, and a range of flexible benefits, employees are empowered to balance their professional and personal lives while engaging in meaningful work within the Financial Institutions Group. The culture fosters continuous learning and inclusivity, ensuring that every team member has the opportunity to thrive and contribute to impactful projects.

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Contact Details:

Deutsche Bank Recruitment Team

We think you need these skills to ace Quantitative FIC Internship: High-Frequency Trading & ML

Statistical Methods
Machine Learning
Quantitative Analysis
High-Frequency Trading
Research Skills
Collaboration
Hands-on Experience