Senior Data Scientist – Compliance & Fraud

About the role

Nium is seeking a Senior Data Scientist to strengthen its compliance and fraud detection capabilities. You will develop AI/ML models that identify financial‑crime risks while ensuring auditability, explainability, and regulatory compliance.

Key responsibilities

• Design, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches.
• Conduct deep‑dive analyses of risk events to uncover root causes and improve risk strategies.
• Analyze large datasets to identify patterns, anomalies, and emerging risks.
• Perform data validation, cleansing, and reconciliation for regulatory reporting.
• Build scalable reporting platforms and document data protocols to meet regulatory requirements.
• Partner with legal, product, and operations teams to translate technical findings into actionable insights for senior management.
• Maintain auditability, traceability, and evidence generation within systems.

Required profile

• Degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
• 3–5 years of experience in data science, advanced analytics, or machine‑learning roles.
• Prior experience in financial services, fintech, payments, or consulting is strongly preferred.
• Exposure to financial‑crime systems such as transaction monitoring, sanctions screening, or case‑management platforms.
• Experience supporting compliance operations, investigations, or model governance.

Required skills

• Machine Learning model development and deployment.
• AI algorithm design and monitoring.
• Statistical modeling and advanced analytics.
• Data validation, cleansing, and reconciliation.