CB & PB Strats

• 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.
• We build and roll out Kannon (our front office risk and pricing platform) to these divisions to support these functionalities.
• We work closely with Cash Management, Trade Finance and Lending, Strategic Corporate Lending in CB as well as both Wealth Management and Retail business in Private Bank.
• We partner with Treasury and Treasury Strats on several initiatives.

Treasury Strategic Analytics

• Supports the Treasury function in 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.

Client and Control Strats

• Responsible for developing and implementing models, data capabilities, platforms and processes that address revenue and cost optimisation, capital efficiency and control effectiveness.
• The team develops behavioural models that monitor clients and traders by analysing transactions, relationship networks and changes over time, helping to identify activity that deviates from expected profiles or may indicate fraud, money laundering, sanctions evasion or other forms of financial crime.
• 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.
• The role will require you to understand the risks these models are designed to address, as well as the profiles and activities of our traders and clients.

Internship Details:

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

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.

Eligibility Requirements:

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.
• 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 visit https://careers.db.com/students-graduates/#/graduate/ to apply.

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 click here and then the United Kingdom tab to view the application opening dates and deadlines.

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