Deutsche Bank Quantitative FIC Internship Programme

The Deutsche Bank Internship Programme is designed to help you develop your skills through formal training and continuous support. You’ll quickly gain the confidence to take on real projects by learning first-hand how and what we deliver for clients worldwide. You’ll feel supported by colleagues from across our business and start to develop your professional network.

The Deutsche Bank Internship Programme is designed to help you develop your skills through formal training and continuous support. You’ll quickly gain the confidence to take on real projects by learning first-hand how and what we deliver for clients worldwide. You’ll feel supported by colleagues from across our business and start to develop your professional network.

The quantitative trading teams across FIC cover Foreign Exchange, Rates, and Credit trading. These teams are responsible for the bank's electronic liquidity provision to clients, covering the development and optimisation of automated pricing and hedging systems, as well as their day-to-day running. You will have the opportunity to use statistical and machine learning knowledge to create and optimise algorithms designed to interact directly with clients and exchanges to generate trading revenues for the bank.

• Using statistical inference at high frequency to determine our view of how the market will evolve (alpha).
• Leveraging bespoke modelling, transform these predictions and internal information into competitive prices aimed at winning flow from clients or efficiently hedging positions.
• Developing tools to better monitor our automated platforms.

Our interns learn about our business through on-the-job experience. You will gain a significant understanding of the work we do, our team culture, and will develop your quantitative skills through real life application. Our desks have a strong history of running research projects, where for several months you will have the opportunity to take a deep dive into a particular topic with expert supervision.

Many of these projects have become part of our live trading systems.

• Deep learning models for high frequency price prediction.
• Marginalised particle filtering for online market data filtering.
• Live market share prediction with Kalman filtering.

• You must be studying a post-graduate specialist degree (MSc or PhD) in a quantitative subject such as mathematics, engineering, physics, economics, or finance.
• Outstanding academic achievement and eagerness to continue learning in a highly collaborative environment.
• Background or interest in statistics, probability, and modern machine learning methods.
• Experience with a general-purpose scientific computing language (Python, R, MATLAB). Experience with low-level languages such as C/C++ is helpful but not necessary.
• Collaborative working skills, leveraging diverse approaches to solve problems efficiently.
• Desire to be at the "cutting edge" of trading in the bank, focusing on high performance trading systems.

• Complete your studies between 1st May 2026 and 30th November 2027.
• Achieved a 2:1 or First (or equivalent) in undergrad and a pass/merit/distinction (or equivalent) in postgrad before joining.
• Postgraduate degree in a quantitative discipline such as mathematics, engineering, physics, computer science, economics, or finance.
• No more than 12 months of full-time, relevant work experience.

The internship will start between May and June 2027 and will last for 18 weeks.

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