Deutsche Bank Quantitative FIC Internship Programme - London - 2027

About the Programme

The Deutsche Bank Internship Programme is designed to help you develop your skills through formal training and continuous support. You will gain confidence by working on real projects and learning how and what we deliver for clients worldwide. You will be supported by colleagues across the business and start building your professional network.

About the Division

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, including the development and optimization of automated pricing and hedging systems and their day-to-day running.

You will have the opportunity to apply statistical and machine learning knowledge to create and optimize algorithms that interact directly with clients and exchanges to generate trading revenues for the bank.

Each desk has a slightly different focus, but the core work includes:

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

About the Role

Our interns learn about the business through on-the-job experience. You will gain a significant understanding of the work we do, the team culture, and develop your quantitative skills through real-world application.

Desks have a strong history of running research projects (including co-supervised thesis-style projects). For several months, you will be able to take a deep dive into a particular topic with expert supervision.

Many projects go on to become part of our live trading systems. Recent examples include:

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

What We Look For

• 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 a strong desire to continue learning at an intensive pace; you thrive in a highly collaborative environment.
• Modelling/Statistical interest: a strong background or interest in statistics, probability, and modern machine learning methods.
• Programming knowledge: experience with a general-purpose scientific computing language (Python, R, MATLAB). Some experience with a low-level language such as C/C++ may help in some roles, but is not required.
• Collaborative working: you bring your own approach to solving a wide range of interesting problems, and value teamwork to achieve better outcomes and faster development.
• A desire to work at the “cutting edge” of trading systems. Work involves both longer-form research projects and tactical responses to market changes, with direct impact on the bank’s trading activity.

Assessment Process

To progress to the final stage assessment, applicants must attend an in-person technical test on a specified date and location (not flexible). More details will be shared with successful shortlisted candidates.

Eligibility for the 2027 UK Quant Internship Programme

• Complete your studies between 1 May 2026 and 30 November 2027. As the programme starts between May 2027 and June 2027, you may still be studying when you join. In that case, you remain eligible provided you have completed all exams before your start date and complete your studies (any remaining coursework and no outstanding requirements for graduation) by 30 November 2027.
• Have achieved a 2:1 or First (or equivalent) in your undergraduate degree, and be on track for or have achieved a pass/merit/distinction (or equivalent) in your post-graduate degree either before you join, or by 30 November 2027.
• Have studied a postgraduate degree (MSc or PhD) in a quantitative discipline such as mathematics, engineering, physics, computer science, economics, or finance.
• Have no more than 12 months of full-time, relevant work experience.

Internship Details

• Start: between May and June 2027
• Duration: 18 weeks

Benefits and Wellbeing

Deutsche Bank is committed to providing benefits and programmes centred around wellbeing. Feeling healthy, engaged, and well-supported enables you to do your best work and make the most of life outside the office.

About Us and Our Teams

Our values define the working environment we strive to create: a sense of belonging, where people are welcomed, respected, and able to contribute and grow. We collaborate and encourage open dialogue and diverse perspectives, and we build talented and diverse teams to drive business results while enabling people to develop to their full potential. We also discuss flexible work arrangements and other initiatives available.

We promote strong working relationships and encourage high standards of conduct and performance. We welcome applications from people of all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations, and are committed to providing a working environment free from harassment, discrimination, and retaliation.

Explore the culture of Deutsche Bank, including Diversity, Equity & Inclusion, Leadership, Learning, and Future of Work.

How to Apply

Whether you are fresh out of school or already have experience, you can find helpful tools and information on the Employability Hub to support your application, prepare for assessment processes, and adapt to a new working environment.

Please visit the Deutsche Bank careers website for students and graduates to apply.