Quantitative FIC Internship Programme - London - 2027

Full job description

About the programme: The Deutsche Bank Internship Programme is designed to help you develop your skills through formal training and continuous support. 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: using statistical inference at high frequency to determine our view of how the market will evolve (alpha); leveraging bespoke modelling to 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. About the role: Our interns learn about our business through on the job experience. 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, including deep learning models for high frequency price prediction, marginalised particle filtering for online market data filtering, and 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. A strong background or interest in statistics, probability, and modern machine learning methods. 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 but is by no means necessary. Please note that to progress onto the final stage assessment, applicants will need to attend an in person technical test on a specified date and location which is not flexible. To be eligible for the 2027 UK Quant Internship programme you must: 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 postgraduate degree either before you join, or by 30th November 2027. Possess no more than 12 months full-time, relevant work experience. The internship will start between May and June 2027 and will have a duration of 18 weeks. How to apply: Please visit careers.db.com/students-graduates to apply. Please note you may only make ONE application per recruitment season in the UK.