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Risk Data & Analytics Engineer

NN26
Seniority
Senior
Model
Remote
Sector
Fintech
Salary
Undisclosed
Contract
Full-Time

About the role

A technically advanced Risk Controlling professional to bridge the gap between methodology and implementation. The role sits within the ICAAP Methodology & Analytics team and focuses on translating regulatory and methodological requirements into robust, scalable, and audit-proof technical solutions.

What you'll do

  • Implement risk models and methodologies developed across Risk Controlling (e.g. ICAAP models, capital and liquidity ratios) into production-ready Python solutions.
  • Enhance and maintain the internal risk controlling tool, improving scalability, robustness, and usability.
  • Translate regulatory requirements into audit-proof, automated processes, including controls and documentation standards.
  • Support the implementation of upcoming regulatory changes and new products.
  • Collaborate with data and engineering teams to establish reliable data pipelines and ensure high data quality and consistency.
  • Develop and maintain automated risk reporting processes and supporting infrastructure.
  • Ensure traceability, reproducibility, and transparency of all implemented models and processes (audit readiness).
  • Contribute to improving development standards (testing, versioning, documentation, code quality) within Risk Controlling.

What you'll need

  • Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering, Mathematics, or a similar technical field.
  • Experience in building and maintaining data-driven applications or analytical systems in Python.
  • Experience working in environments where data quality, traceability, and robustness are critical.
  • Strong proficiency in Python (object-oriented programming, data processing, modular code design).
  • Solid SQL skills and experience working with large and complex datasets.
  • Experience designing and working with data pipelines and system integrations.
  • Familiarity with software engineering best practices (e.g. version control, testing, code reviews; CI/CD).
  • Strong problem-solving skills with attention to detail.

Nice to have

  • Initial exposure to risk, finance, or regulatory environments (e.g. banking, fintech).
  • Understanding of concepts such as risk metrics, reporting, or controls.
  • Interest in financial risk management and regulatory topics.

What they offer

  • Competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
  • Premium N26 bank account subscription and subscriptions for friends and family members.
  • Additional day of annual leave for each year of service.
  • High degree of autonomy and access to cutting edge technologies.
  • Relocation package with visa support.
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