Data Scientist Compliance
Must-have:PythonDataAISecuritySenior
Finance
Business Support
Data Scientist Compliance
16-09-2026 6.378 - 8.504 Senior Den Haag
As a Data Scientist Compliance at NN, you design, build and improve data analyses, dashboards and AI solutions for Compliance; translate risks into explainable models, ensure responsible AI (AI Act, risk assessments, controls), and own solutions end-to-end in production.
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Data Scientist Compliance Role purpose
Apply data science to strengthen compliance monitoring, risk detection, and regulatory reporting by developing transparent, auditable analytics and models that support governance and decision-making.
Core responsibilities
- Design, build, and maintain compliance analytics, risk scoring, and anomaly detection solutions.
- Develop and validate statistical and machine learning models with clear documentation, explainability, and audit trails.
- Partner with Compliance, Legal, Risk, and Engineering to translate regulatory requirements into measurable controls and data products.
- Define data quality checks, monitoring metrics, and ongoing model performance reviews; manage drift and recalibration.
- Create dashboards and reports for regulatory, internal audit, and leadership stakeholders.
- Ensure responsible data use, privacy, and security practices across the analytics lifecycle.
Required skills and qualifications
- Strong proficiency in Python and SQL; experience with data pipelines and reproducible analysis.
- Applied experience with machine learning, statistics, and model evaluation in regulated or risk-sensitive contexts.
- Knowledge of compliance, governance, and risk concepts (e.g., AML, KYC, fraud, privacy, or regulatory reporting).
- Experience with model explainability and documentation standards (e.g., feature importance, SHAP, model cards).
- Ability to communicate complex findings to non-technical stakeholders and support audits.
- Familiarity with data warehousing, BI tools, and versi...