Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
- Collaborate with various partners to provide a holistic view of the analysis.
- Measure and monitor results of applied recommendations and present adjustments.
- Develop scenarios involving tuning, calibration, segmentation, and optimization.
- Provide routine and ad hoc reporting tied to AML/CFT compliance.
- Develop insightful and compelling summary reporting and dashboards for management and business line partners.
- Support the 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 the 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 with experience of applying them in an AML/Fraud context