(Senior) Risk Data & Analytics Engineer at N26

✨ The Stack take on this N26 job

• 🏢 N26 has 139 jobs here, 136 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask N26 if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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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.

Key skills

• Python — in 1200 other listings on The Stack
• SQL — in 545 other listings on The Stack
• Object-Oriented Programming — in 15 other listings on The Stack
• Data Pipelines — in 113 other listings on The Stack
• CI/CD — in 630 other listings on The Stack
• Version Control — in 42 other listings on The Stack
• Risk Modeling — in 4 other listings on The Stack
• Automation — in 208 other listings on The Stack
• Data Quality
• Financial Risk Management
• Regulatory Reporting
• Software Engineering Best Practices

On The Stack (as of 2026-11-05)

• N26 has 138 other listings on The Stack, 135 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.

Frequently asked questions about N26

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.