# (Senior) Risk Data & Analytics Engineer at N26

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Implement risk methodologies (ICAAP, cap

- **Company:** N26 (https://jobs.trythestack.co/companies/n26)
- **Location:** Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, Object-Oriented Programming, Data Pipelines, CI/CD, Version Control, Risk Modeling, Automation, Data Quality, Financial Risk Management, Regulatory Reporting, Software Engineering Best Practices
- **Posted by employer:** 2026-06-29
- **Added to The Stack:** 2026-06-29
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://n26.com/en-eu/careers/positions/8034995?gh_jid=8034995 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-risk-data-analytics-engineer-n26

## About the role

Responsibilities:
- Implement risk methodologies (ICAAP, capital/liquidity ratios, etc.) as production-ready Python solutions with traceability and reproducibility.
- Enhance and maintain internal risk tooling to improve scalability, robustness and usability.
- Translate regulatory requirements into automated, audit-proof workflows with controls, documentation and testing.
- Build and maintain automated risk reporting pipelines and supporting infrastructure.
- Collaborate with data engineers and stakeholders to ensure reliable data pipelines and high data quality.
- Support regulatory change implementation and new product onboarding from a risk-data perspective.
- Improve development standards within Risk Controlling (versioning, testing, CI/CD, code reviews).

Requirements:
- Degree or equivalent experience in Computer Science, Data Engineering, Mathematics or similar technical field.
- Strong Python skills (OOP, modular design, data processing) and experience delivering data-driven applications.
- Solid SQL skills and experience handling large, complex datasets and pipeline integrations.
- Track record of building automated, auditable processes where data quality and traceability are essential.
- Familiarity with software engineering best practices: version control, testing, CI/CD and documentation.
- Interest or experience in financial risk management and regulatory reporting; strong collaboration and communication skills.

## Responsibilities

Implement risk models and methodologies into production-ready Python solutions while enhancing internal risk controlling tools. Translate regulatory requirements into automated, audit-proof processes and collaborate with data engineering teams to ensure high data quality.

## Requirements

Requires a degree in Computer Science, Mathematics, or a related technical field with strong proficiency in Python and SQL. Experience in building data-driven applications and familiarity with software engineering best practices is essential.

## FAQ

- **Is this (Senior) Risk Data & Analytics Engineer role still open?** It was posted on 2026-06-29. Listings more than 30 days old may no longer be active, so check N26's site before applying.
- **Does N26 offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on N26's site.
- **Where is this role located?** The listing gives the location as Spain. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, Object-Oriented Programming, Data Pipelines, CI/CD, Version Control, Risk Modeling, Automation, Data Quality, Financial Risk Management, Regulatory Reporting, Software Engineering Best Practices.

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## About The Stack

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## Notes for agents

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