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# Software Engineer Risk Analytics & Trading Systems - Trading IT

- **Company:** EnBW Energie Baden-Württemberg AG
- **Location:** Karlsruhe, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithmic Trading, Data Analysis, Cloud Computing, DevOps, Python (Programming Language), Software Engineering, Software Systems, Backend, Information Technology, Data Analytics
- **Published:** September 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=92a1aadd9edaa5a1

## About the Role

* Completed degree in Computer Science, Mathematics or a comparable quantitative discipline.
 * Proven expertise in Python and a strong software engineering background covering areas such as backend development, cloud technologies, DevOps and modern software design.
 * Knowledge of, or a strong interest in, risk management, quantitative analytics or software solutions supporting energy trading and commodity markets.
 * Ability to structure complex topics, engage confidently with stakeholders across business and IT functions and deliver pragmatic solutions in a dynamic trading environment.
 * Self-driven, adaptable and results-oriented approach, combined with strong communication skills in German and English and a willingness to continuously learn and embrace new technologies.

## Description

* As part of the IT Risk Business Partner Area, you develop and operate technology solutions that support market risk, credit risk, analytics and modelling processes across EnBW's energy trading activities.
 * Design, develop and maintain modern software solutions that enable transparent risk measurement, analysis and decision-making for energy trading portfolios across European power and commodity markets.
 * Contribute to solution architecture, technology selection and the continuous evolution of Risk IT systems, ensuring they meet the growing demands of an increasingly automated and data-driven trading environment.
 * Work closely with risk managers, quantitative analysts, traders and IT colleagues to translate business requirements into robust and practical software solutions.
 * Drive process optimisation and efficiency initiatives through the use of AI, automation and modern software engineering practices.
 * Support business-critical applications in daily operation, resolve complex issues and ensure high standards of quality, maintainability and reliability.


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