Deutsche Bank Quantitative FIC Internship Programme - London - 2027

Deutsche Bank; Greater London; On-site; GBP 6,000 - 11,000; Full time

Benefits offered by this job

Wellbeing benefits

Job summary

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.

Qualifications

• Postgraduate MSc or PhD in a quantitative subject (maths, engineering, physics, economics or finance)
• Outstanding academic achievement and ongoing high work-rate in a collaborative banking environment
• Strong modelling/statistics interest and modern machine learning methods
• Programming with a general-purpose computing language (Python, R, MATLAB); some C/C++ experience is a bonus

Responsibilities

• Gain on-the-job experience through real projects and supervision
• Work on projects using statistical and ML methods to support trading desks
• Contribute to development and optimisation of trading-related tools and models

Skills

Mathematics

Engineering

Physics

Economics

Finance

Statistics

Python

R

MATLAB

C/C++

Education

Postgraduate MSc or PhD in quantitative discipline

2:1 or First in undergraduate degree

Tools

Python

R

MATLAB

C/C++

Job description

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.

• Country: United Kingdom
• City: London

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, 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. Each of the desks have slightly different focuses, but the core of what we do is: i) Using statistical inference at high frequency to determine our view of how the market will evolve (alpha). ii) Leveraging bespoke modelling, transform these predictions and internal information into competitive prices aimed at winning flow from clients or efficiently hedging positions. iii) Developing tools to better monitor our automated platforms.

About the role

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 (both as a general internship opportunity, but also as a co‑supervised thesis project) 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 gone on to become part of our live trading systems!

Examples of recent projects include: i) Deep learning models for high frequency price prediction. ii) Marginalised particle filtering for online market data filtering. iii) Live market share prediction with Kalman filtering.

What we look for

• You must be studying a post‑graduate specialist degree (MSc or PhD) in a quantitative subject such as mathematics, engineering, physics, economics or finance
• You will already have a record of outstanding academic achievement and you’re eager to continue learning at the same intensive rate. You’ll thrive on working in a highly collaborative environment with some of the best minds in banking.
• 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++ can be helpful in some roles as well but is by no means necessary.
• Collaborative working -- we always have a long list of interesting problems to solve, and each person on our team will bring a different approach to solving them. Working together leads to better outcomes for us, and faster development for you!
• Desire to be at the "cutting edge" of trading in the bank -- as front office teams, these desks are focussed on maintaining and developing high performance trading systems. Your actions will have a direct impact on the trading activity of the bank, so work is a mixture of longer form research projects and tactical responses to market changes.

Eligibility

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

Internship details

• The internship will start between May and June 2027 and will have a duration of 18 weeks.

Benefits and wellbeing

• Feeling healthy, engaged and well‑supported, enables us to do our best work and get the most out of life outside of the office. That’s why Deutsche Bank is committed to providing benefits and programmes centred around wellbeing. Benefits & Wellbeing – Deutsche Bank Careers (db.com)

About us and our teams

Our values define the working environment we strive to create – where our people have a sense of belonging and everyone feels welcomed, respected and can contribute and grow. We know that high‑performing teams have different skills, backgrounds, and experiences. We collaborate, encourage and enable open dialogue and diversity of views. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.

We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from 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.

Visit This is DB to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.