Compliance Data Scientist

Minimum Experience

§ At least 6 years of experience in data analytics, risk analysis, or statistical modelling within financial services or a regulated environment.

§ Minimum 3 years of hands-on experience in Compliance Data Science, including developing and validating compliance models, working with large datasets, and implementing advanced analytics solutions in major banking institutions.

§ Proven expertise in leveraging data science methodologies (e.g., machine learning, predictive modelling) for financial crime risk management.

§ Strong understanding of compliance frameworks, regulatory requirements, and financial crime typologies (AML, sanctions, TBML).

§ Experience with data visualization tools (e.g., Power BI, SAS Visual Analytics) and programming languages such as SAS, Python, R, or SQL.

§ Familiarity with compliance technology platforms and system architecture for transaction monitoring and sanctions screening.