Dirk Prange
Global Head Credit Quantitative Analysis Emerging Markets
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolDirk Prange is a seasoned quantitative credit specialist with over two decades of experience in credit derivatives, model validation and fixed income analytics, currently leading Global Credit Quantitative Analysis for Emerging Markets at Citi from London. He combines a theoretical physics PhD with hands-on model scrutiny and implementation, bridging deep mathematical rigour with practical risk-management in emerging market credit portfolios. His background includes senior leadership at Dresdner Kleinwort where he directed model validation for complex credit products, giving him a rare blend of front-office insight and independent validation expertise. Outside finance he contributes to open-source robotics software—helping improve performance and reliability on the popular DonkeyCar platform—illustrating a continual appetite for systems-level engineering and data-driven problem solving. Colleagues value him for translating complex models into auditable, production-ready frameworks that support trading and risk decisions across diverse markets.
7 years of coding experience
7 years of employment as a software developer
PhD, Theoretical Physics, PhD, Theoretical Physics at University of Hamburg
Github Skills (8)
cart10
robotics10
python10
opencv8
keras8
tensorflow7
testing7
pytest7
Programming languages (4)
Github contributions (5)
autorope/donkeycar
Jul 2019 - Jan 2023
Open source hardware and software platform to build a small scale self driving car.
Role in this project:
Software Engineer (likely focused on robotics software)
Software Engineer (likely focused on robotics software)Contributions:13 releases, 461 reviews, 360 commits in 3 years 7 months
Contributions summary:Dirk primarily contributed to the `donkeycar` project by addressing bugs and improving the performance of the software, especially related to vehicle control and data profiling. Their work includes fixing issues related to the `PartProfiler` class to handle `KeyboardInterrupts` and enhance the accuracy of the timing data. They also implemented improvements to the `MakeMovie` command by using indexes from the tub, picture frame size and removing unused code to improve performance. In addition the user has also cleaned up code and removed deprecated messages from the testing framework.
pythondonkeycartensorflowopen-source-hardwareraspberry-pi
autorope/donkey_datasets
May 2021 - Oct 2021
Datasets for Donkey Car
Contributions:1 review, 13 commits, 2 PRs in 5 months
donkey-cardatasetdatasetsdonkeycar
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