Data Scientist - AML

We are a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. We are backed by leading investors and serve the world’s most essential fintech and technology companies. Together with its partners, we are reshaping global finance and financial inclusion. We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. 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. 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 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 Excellent computer skills, including proven experience with Microsoft Office suite Quick thinker, fast learner and problem solver with ability to get things done, from start to end Good team player, self-motivated and proactive at work Effective interpersonal, verbal, and written communication skills