Data Scientist, AML
Cross River
PythonSQL
Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Drive data-informed decisions to strengthen AML/CFT compliance and provide actionable insights to business leaders
- Transform complex data into clear analysis and strategic recommendations
- Collaborate with cross-functional partners to deliver a comprehensive view of risk
- Monitor impact of implemented strategies and make adjustments as needed
- Design and refine transaction monitoring scenarios, including tuning, calibration, segmentation, and optimization
- Provide routine and ad hoc reporting tied to AML/CFT compliance
- Develop summary reporting and dashboards for management and business line partners
- Support development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools
Requirements
- 3+ years or relevant experience in the data analytics and/or data science field
- 3+ years' experience using SQL/Python for querying data and for data manipulation/transformation
- Significant experience in implementing an end-to-end AML/CFT compliance management platform that includes transaction monitoring tools
- Native level English both written and verbal; good Hebrew
- Experience implementing AML or Fraud Transaction Monitoring in Palantir (a plus)
- Experience in Business Intelligence/Data Exploration and Visualization tools
- Experience in Implementing AML or Fraud Solutions, AML/Fraud Alert Generation Process, Scenario Management
- Strong analytic skills and problem solving with ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
- Knowledge and understanding of machine learning and artificial intelligence approaches, ideally applied in an AML/Fraud context
- Curious and analytical mindset; clear communicator; collaborative; mission-driven and detail-oriented
