Deutsche Bank Quantitative Gsa Internship Programme

**About the programme**:
The Deutsche Bank Internship Program 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)** is responsible for the development and ownership of many cutting-edge quantitative analytics and projects across the entire Deutsche Bank. Historically, 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 of the GSA group are offering internship roles.

**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.

**Debt Strategic Analytics** is the team in charge of supporting and designing solutions for Fixed Income businesses. Also called “Desk Strats”, they partner very closely with Trading, Structuring, Technology and Operations to develop pricing tools and intraday/end-of-day risk management strategies. The analytical solutions designed by this team allow the business to remain competitive and solve complex problems for clients as part of day-to-day trading.

**Treasury Strategic Analytics**is responsible for supporting the Treasury function within the bank and supports desks such as Pool Trading, Asset & Liability Management, Liquidity Management, Issuance, Liquidity Reserve Management, Capital Management. This involves developing solutions for Pre-trade Pricing/Execution/Governance, Post-Trade Risk/PL calculation, Treasury Markets management and Hedge accounting. In terms of products, this implies working with a range of money market products to fund the balance sheet, derivatives to hedge interest and FX risk as well as investment products that are either issued by the bank or held as reserves. The team also delivers solutions for bank-wide regulatory responsibilities such as Regulatory Liquidity Ratio monitoring and Net Interest Income reporting.

**About the role**:
**DB Analytics** - You should expect a challenging derivatives modeling project that includes numerical implementation and analysis. You’ll be working under the supervision of a senior DB Analytics team member who covers a business area e.g. interest rate exotic options.

**Debt Strategic Analytics** - You will work closely with a business unit (e.g. Rates, Credit, Emerging Markets) on a particular pricing and/or risk-management challenge by transforming the problem into an analytical challenge, solving it and providing a proof-of-concept for your solution and design.

**Treasury Strategic Analytics -**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, for example, new pricing or quoting mechanisms, coming up with more efficient algorithms to measure and optimally hedge the bank’s risk, automation of manual tasks with AI/ML etc.

**What we look for**:
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.

The DB Analytics 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++.

The Desk Strats team requires strong quantitative and programming skills with great attention to details. A good understanding of financial products will give you an edge. Motivation and communication are a must as collaboration and partnership with the business is key to adopt new solutions.

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.

To be eligible for the 2026 UK Quant Internship programme you must:

- Complete your studies between 1st May 2025 and 30th November 2026. As the programme is due to start between May 2026 and June 2026, 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 requir