This job is with Deutsche Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the 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. 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. 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. More details will be shared to the successful shortlisted candidates. 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 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. 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
Deutsche Bank Quantitative FIC Internship Programme - London - 2027 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.
