Job Description: "> - Enhance and maintain advanced rules systems to reduce anti-money laundering alert volumes and prioritize cases. - Acquire in-depth knowledge of anti-money laundering and data analysis techniques to identify challenges and opportunities, leveraging analytics and automation tools. - Create risk models and alerts forecasts to support compliance and business decision-making processes. - Develop scenarios to detect and prevent money laundering activity. - Build machine learning-based segmentation models using statistical analysis techniques. - Produce accurate documentation of models and tools deployed. "> Requirements: "> - At least 4 years of experience in analytical roles with strong project management and business analysis skills. - Solid background in analytical work with expertise in SQL. - Previous experience in project management and business analysis is a must. - Proficiency in ETL data modeling using statistical algorithms is required. - Strong programming skills in Python or R are essential. - Ai/Machine learning knowledge is a plus. - Background in AML, Fraud or Risk Management is a significant advantage. "],