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Deutsche Bank Quantitative GSA Internship Programme
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Job Description
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
GSA owns and develops many cutting-edge quantitative analytics and projects. GSA started with delivering pricing and risk solutions to Sales & Trading and the majority of GSA internship topics have been around Fixed Income and Currencies (FIC) activities.
The Following Teams Are Offering Roles
DB Analytics
DB Analytics is the front office cross-asset quant team in charge of the research and development of Deutsche Bank’s pricing models. The DB Analytics library is the inner mathematical layer of every DB pricing and risk management system, and it is used to price every cash and derivative transaction in rates, inflation, credit, foreign exchange, commodities, mortgages and hybrids.
You should expect a challenging derivatives modeling project that includes numerical implementation and analysis. You will work under the supervision of a senior team member who covers a business area e.g. interest rate exotic options.
The team puts the heaviest emphasis on stochastic calculus. You’ll need strong quantitative skills to read and analyse mathematically challenging research papers and will be required to develop an intuition on complex concepts. Solid programming skills will be needed to implement a modeling prototype in C++.
Rates Desk Strats
You will use mathematical modelling and programming to help the business drive revenue through advanced risk management analytics, market data build-out, and process automation. In this collaborative role, you will partner with a wide variety of stakeholders including Trading, Sales, Structuring, Market Risk, Technology, and Operations while delivering a dedicated project for one of our Rates desks.
To succeed, you should demonstrate strong quantitative and programming skills, a natural curiosity for financial markets, and excellent communication and collaboration abilities.
Credit Desk Strats
You will work in a front-office, desk-aligned quantitative team supporting Deutsche Bank’s Credit Trading businesses. The role involves partnering with Trading, Structuring, Technology, Operations, and other analytics teams to solve pricing, risk, P&L, data, workflow, and platform challenges across various credit activities.
Projects may include pricing and risk analytics, intraday P&L and risk tools, trader / sales / client analytics, portfolio trading automation, data-quality improvements, AI-enabled analytics, and migration to strategic platforms.
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The team requires strong quantitative & programming skills with great attention to detail. A good understanding of financial products will give you an edge. Motivation and communication are a must as collaboration & partnership with the business is key to adopt new solutions.
CB & PB Strats
This team is responsible for all quantitative and analytical work for Corporate Bank and Private Bank divisions. This includes pricing, funding, liquidity management, IR risk calculation and hedging, profitability measurement, capital optimization, and SVA. The team builds and rolls out Kannon (our front office risk and pricing platform) to support these functionalities.
We work closely with various divisions in the bank to enhance our capabilities and deliver optimal solutions.
Treasury Strategic Analytics
This team supports the Treasury function in the bank and interacts with various desks involved in asset-liability management, liquidity management, and capital management.
You will develop a good understanding of how Treasury works by interacting with Traders and Risk/Finance managers and come up with novel approaches to solve problems. Projects could involve developing new pricing or quoting mechanisms, more efficient algorithms to measure and optimally hedge the bank’s risk, automation of manual tasks with AI/ML etc.
Client and Control Strats
This team is responsible for developing and implementing models, data capabilities, platforms and processes that address revenue and cost optimisation, capital efficiency and control effectiveness.
You will test innovative algorithms and feature designs that enhance the detection of unusual client or trader behaviours. This may include applying AI/ML techniques, particularly in graph analytics, entity recognition and anomaly detection.
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 good understanding of the associated products along with a good mathematical background to understand pricing/risk/PL. Good exposure to C++ and Python coding.
You already have outstanding academic achievements and are 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.
Note - 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. Details will be shared to the successful shortlisted candidates.
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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.
- Study 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.
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.
About Us And Our Teams
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.
How To Apply
Whether you're fresh out of school or already have some experience, you'll find a wealth of helpful tools and information on our Employability Hub that will support you with your application, prepare for the assessment processes and adapt to a new working environment.
Please note you may only make ONE application per recruitment season in the UK. If you make multiple applications with multiple profiles, you may be removed from the recruitment process. The application deadline for this role is 30th October 2026 at 11:59PM GMT.
Please note we hire on a rolling basis, and we may close the role prior to the deadline if we receive a significant number of applications. If the role is due to close early, the deadline will be updated 48 hours in advance. Please apply early to ensure your application is considered.
If you are interested in applying to other divisions/roles, please consult available resources for application opening dates and deadlines.
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