(Senior) Risk Data & Analytics Engineer at N26
Germany
Posted
on-site · full-time · Visa sponsorship
Responsibilities:
- Implement risk methodologies (e.g., ICAAP models, capital/liquidity ratios) as production-ready Python solutions.
- Enhance and maintain internal risk tooling to improve scalability, robustness, and usability.
- Automate risk processes, controls, and documentation to meet regulatory and audit requirements.
- Build and maintain reliable data pipelines and integrations with data engineering teams.
- Develop automated risk reporting and supporting infrastructure with traceability and reproducibility.
- Improve development standards: testing, versioning, code reviews, CI/CD, and documentation.
Requirements:
- Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering, Mathematics, or similar.
- Strong Python skills (OOP, modular design) and solid SQL for large, complex datasets.
- Experience designing/working with data pipelines, system integration, and automation.
- Familiarity with software engineering best practices (version control, testing, CI/CD, code reviews).
- Experience in environments requiring high data quality, traceability, and audit readiness.
- Interest/experience in financial risk management and regulatory reporting.