We are the data Science team, focused on regulatory compliance.
You will
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: You have
Native level English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment and good Hebrew
Significant experience in implementing an end-to-end AML/CFT compliance management platform that includes transaction monitoring tools - Must
3+ years or relevant experience in the data analytics and/or data science field - Must
3+ years' experience using SQL/ Python for querying data and for data manipulation / transformation - Must
Experience implementing AML or Fraud Transaction Monitoring in Palantir, a strong advantage
Experience in business intelligence / data Exploration and Visualization tools
Experience in Implementing AML or Fraud Solutions, AML/Fraud Alert Generation Process, Scenario Management
This position is open to all candidates.