Senior Data Scientist

We are seeking an experienced Data Scientist – Compliance (Banking) to develop, validate, and deploy advanced analytics and machine learning solutions that support regulatory compliance, financial crime prevention, and risk management initiatives within the banking environment. The ideal candidate will combine strong technical expertise in data science with deep knowledge of banking regulations, AML/KYC processes, sanctions screening, and model risk management frameworks. This role requires delivering robust, explainable, and audit-ready models that meet regulatory expectations and business objectives.

Requirements

Key Responsibilities

• Design, develop, validate, and monitor machine learning and statistical models for compliance, financial crime detection, and risk management use cases.
• Build predictive and anomaly detection models supporting AML, KYC, sanctions screening, transaction monitoring, customer risk scoring, and fraud detection programs.
• Ensure all models comply with internal governance standards, regulatory requirements, and model risk management frameworks.
• Perform model validation, performance testing, stability analysis, bias assessment, and explainability reviews.
• Develop and maintain comprehensive model documentation, validation reports, and audit-ready artifacts.
• Collaborate with Compliance, Risk, Financial Crime, Technology, and Data Engineering t