Quantitative Strategist Python Developer, Deutsche Bank

Salary not provided

Python

NumPy

Pandas

Scikit-Learn

Junior, Mid and Senior level

London

Investment bank and financial services company

Job no longer available

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Job no longer available

Salary not provided

Python

NumPy

Pandas

Scikit-Learn

Junior, Mid and Senior level

London

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Job

Company

Role

Who you are

Python and Pandas skills are essential, including experience in Data Science and Machine Learning Python libraries/tools, such as NumPy, scikit-learn, Jupyter Notebooks or other relevant libraries/tools
Knowledge and experience of fixed income/bonds would be an advantage, or the background necessary to gain an understanding of it
Experience of modern software development practices
Previous experience of handling and querying large datasets, ideally using KDB/Q
Previous experience of working with multiple external data sources and the challenges they present, plus experience of data pipelines and analysis would be an advantage

What the job involves

You will be joining the Quantitative Fixed Income (QFI) Engineering team, part of Group Strategic Analytics
The Python team in QFI Engineering is responsible for the delivery of functionality that supports a critical e-Trading platform
This functionality is applied in multiple contexts including research & analysis, model development and calibration of live trading algorithms
Our libraries and frameworks are used by bond trading desk quants
As a member of the Python team you will be developing and enhancing our libraries and frameworks for bonds, promoting modern software development practices, and collaborating closely with desk quants
Responsible for development of our Python quant frameworks including design and implementation of new features, enhancements to existing features, development of automated tests, debugging, developing robust defect fixes, proactively refactoring and enhancing the software, actively improving DevOps and participation in code reviews as author/reviewer
Closely work with and collaborate with quants. Provide technology leadership, encourage software development best practices and help in the development of quant software
Work with Quality Assurance (QA) engineers, QFI developers, support teams and other development teams globally

Salary benchmarks

Our take

Deutsche Bank is one of Europe's biggest banks, operating in around 60 countries. It has a long history but hasn't struggled to keep up with the changing times. Like launching Vert, a digital payments service for small and medium businesses, and focusing on investments that are good for the environment and society.

The banks performance in 2025 has been impressive too. In the first nine months, pre-tax profit reached €7.7B (up 64% from last year) and net profit climbed to €5.6B (a 76% increase). And all business divisions delivered double-digit profit growth, supported by revenue gains and disciplined cost management.

If this wasn't impressive enough, the bank is also making strong progress in ESG, reporting €23B in sustainable financing in the third quarter of 2025 alone. With these healthy finances, a clear strategic direction, and a focus on responsible growth, Deutsche Bank is in a very promising position for the future.

Freddie

Company Specialist at Welcome to the Jungle

Insights

11% employee growth in 12 months

Glassdoor (3.8)

Trustpilot (1.4)

Company

Company HQ

Westend-Süd, Frankfurt, Germany

Leadership

Christian Sewing

(CEO)

Christian joined Deutsche Bank in 1989 as a Banking Apprentice. Since then, he has held a number of roles and became CEO in 2018.

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